IBM, Google, Microsoft, Honeywell, and countries like the US, China, and Canada are leading the development of quantum computing.

China has invested $15.3 billion in quantum research, becoming the third country to deliver a complete quantum computer system, after the US and Canada.

The US is a major player, with IBM and Google achieving quantum supremacy in 2019 and 2021, respectively.

Canada has invested $400 million to become a global quantum leader.

The UAE, Finland, and Germany are also investing in quantum computing, a global market expected to reach $1 trillion by 2035.

Quantum computing may solve complex problems in fields like medicine, finance, and energy, leading to breakthroughs in drug discovery and materials development.

Challenges include high costs, limited expert availability, and technical difficulties in building large-scale quantum computers.

The quantum computing market is expected to grow at a 36.89% compound annual growth rate from 2022 to 2032, driven by applications in optimization, simulation, and machine learning.

IBM, Google, and Microsoft are using quantum computing for applications like battery simulation and complex event analysis.

Companies like NVIDIA and Terra Quantum are researching hybrid quantum-classical systems.

Quantum computing is rapidly advancing with significant global investments.

Investments in quantum computing startups reached $2.35 billion in 2022, led by China's $15.3 billion in government funding.

The Wuyan system, a 24-qubit superconducting quantum computer, is comparable to other market systems.

The quantum computing market, dominated by IBM, Google, Microsoft, and Honeywell, is expected to reach USD 234.06 billion by 2032.

North America, driven by the US, leads the quantum computing market, expected to grow at a 36.89% CAGR from 2022 to 2032.

Google achieved quantum supremacy in 2019, and IBM launched a quantum program for students in 2020.

In 2021, Honeywell developed a quantum computer with a quantum volume of 512 and Amazon Web Services launched Amazon Bracket.

Canada leads in quantum computing innovation, with government investments including $40 million in Xanadu Quantum Technologies and $360 million in the National Quantum Strategy.

China has over 100 quantum computing companies and leads in quantum computing research.

IQM Quantum Computers leads European quantum computing development, supplying units for Spain's first quantum computer and building Finland's first 54-qubit commercial quantum computer.

Germany is developing quantum computing technology, earmarking €2 billion for the effort in 2021.

Germany plans to develop its first quantum computer by 2025.

The Quantum Valley Lower Saxony project will receive 1.5 billion euros in funding and attract at least 400 researchers over 10 years.

The US and China are investing $170 billion and at least $150 billion, respectively, in scientific research and future technologies.

Quantum computers can solve complex problems in fields such as drug development, finance, logistics, and energy.

Russia is developing four key quantum computing platforms and a research organization pool.

Quantum computing can improve AI, finance, and solve climate and cryptography problems.

The UAE is investing in quantum computing to build its first quantum computer through the Quantum Research Center.

The global quantum computing market is expected to reach $1 trillion by 2035 and $16.4 billion in investments by 2027.

Fourteen global government agencies have launched quantum computing initiatives, led by the US and China.

China invests $15.3 billion in quantum technology, surpassing Europe's $8.4 billion and the US's $3.7 billion.

China leads global quantum technology patent applications at 52.3%, followed by Japan and the US with 13.8% and 10%, respectively.

The US has at least 20 labs working on superconducting quantum computing, compared to India's four researchers.

India's quantum national mission has a proposed budget of Rs 8,000 crore, while the DST's QUEST programme has Rs 200 crores in funding.

China and Russia are investing in quantum technologies, with China spending $15.3 billion and Russia using four platforms.

In 2022, venture investors put $2.35 billion into quantum computing, with 1,600 patents issued.

The US leads in North America, Europe invests heavily, and Asia Pacific expects significant growth in quantum computing.

The UK, Germany, and France are investing in quantum computing for healthcare, finance, and energy applications.

China's quantum computer is 10 billion times faster than Google's, surpassing milestones achieved by Google, IBM, and Honeywell.

The UAE is among 50 projects promoting quantum computing, with global investment exceeding $36 billion.

Australia leads in quantum computing research.

China has invested $15.3 billion in quantum research.

The US National Institute of Standards will release post-quantum encryption standards.

China's quantum computing activities pose security threats, highlighting the need for international cooperation.

Top tech companies like IBM, Google, Microsoft, and Honeywell are major players in the quantum computing market.

IBM's quantum computer has over 1000 qubits.

Google achieved quantum supremacy in 2019 with its Sycamore processor.

China achieved quantum supremacy in 2020 with the Zuchongzhi processor.

IBM achieved quantum supremacy in 2021 with its 127-qubit Eagle processor.

Countries are racing to develop quantum technology through research and investment.

China is spending $15.3 billion on quantum research, posing opportunities and challenges for other nations.

The transition to a quantum-resistant world will take years, requiring efforts from governments, companies, and researchers.

Quantum computing can transform fields like medicine and materials science.

High costs and limited experts hinder market growth, necessitating more funding and training.

Technical challenges exist in building large-scale quantum computers due to decoherence and error correction issues.

Research groups have achieved superconducting qubits with over 99% accuracy.

IBM plans to release a 1,121-qubit quantum chip called Condor by 2023.

Quantum computing poses significant security risks by potentially cracking current encryption standards.

The US National Institute of Standards will release four anti-cryptography standards to address security concerns.

IBM plans to deliver classical and quantum computing software in 2023, integrating quantum with classical systems.

Improved interchip communications is crucial for quantum computing, with companies like IBM working on it.

IBM's Qiskit Runtime will support circuit knitting in 2023 to enhance quantum and classical computing integration.

Improvements in error mitigation are expected in 2024 and 2025 to aid integration with classical systems.

IBM's quantum roadmap includes a 133-qubit processor in 2023 and a 4,158-qubit device in 2025.

Forrester Research finds IBM's quantum computing timelines to be realistic.

IBM plans to deliver a 4,000-plus qubit machine by 2025.

The company expects to deliver software tooling in 2023 to enhance quantum computing system performance.

IBM's "Serverless Quantum" architecture assigns work to processors, key to evaluating quantum computing performance.

Quantum-centric supercomputing combines classical and quantum resources to achieve quantum advantage.

Standard performance metrics for quantum computing systems include qubit count, quantum volume, and quantum error correction.

Classical supercomputers can simulate 20 qubits, whereas quantum computers can handle 12 qubits for chemistry simulations.

Quantum advantage is expected at 38-68 qubits, a key benchmark for evaluating quantum computing systems.

Variational quantum eigensolvers require balancing expressivity and gate count.

IonQ set a record with 12 qubits and 72 parameters, demonstrating quantum computing's potential.

Google achieved quantum supremacy in 2019, a milestone in quantum computing development.

IBM launched a quantum computing program for students in 2020 to develop the next generation of experts.

Honeywell achieved a quantum computer record with a quantum volume of 512.

The quantum computing market is dominated by IBM, Google, Microsoft, and Honeywell.

The quantum computing market is forecast to reach USD 234.06 billion by 2032.

Quantum computers use qubits that exist in 0, 1, or both states simultaneously.

Quantum computers measure vast possibilities simultaneously.

Google's Sycamore processor achieved quantum supremacy.

Quantum algorithms like Shor's and Grover's surpass classical methods.

Quantum computing solves cryptography and optimization challenges.

Quantum computers quickly simulate complex molecular structures.

Quantum computing enhances machine learning and big data analysis.

IBM's Qiskit Runtime will support circuit knitting in 2023, aiding next-generation quantum computing development.

IBM's roadmap includes a 133-qubit Heron processor for 2023.

IBM's roadmap includes a 4,158-qubit Kookaburra device by 2025.

Quantum systems could crack long-standing cryptographic coding practices.

IonQ is testing a 35-qubit trapped ion system for next-generation quantum computing.

Evidence for exponential quantum advantage in quantum chemistry is lacking.

Quantum miners yield massive energy savings for blockchain.

Quantum-based mining saves 126.7 TWH of energy.

Bitcoin mining consumes over 150 terawatt hours annually.

Quantum mining devices have varying fault tolerance layers that impact their performance.

Error correction is less crucial in blockchain mining.

Classical Bitcoin miners are profitable with a 0.000070% success rate.

Quantum-based systems can be fine-tuned for increased accuracy.

Quantum miners don't require full-service quantum computing solutions.

NISQ systems demonstrate quantum advantage over classical computers.

Quantum miners require around 512 qubits for massive energy savings.

The UAE is investing in quantum computing, a market expected to reach $1 trillion by 2035.

IBM, Google, Microsoft, Honeywell, and countries like the US, China, and Canada are leading the development of quantum computing.

Title:

Content: Quantum Computing Market was valued at nearly USD 234.06 billion by 2032

Prudour Private Limited

Updated · Mar 06, 2023

Quantum Computing Market Overview

Published Via 11Press: Quantum computing is a rapidly developing market that is revolutionizing how we approach computing and data processing. By employing principles of quantum mechanics to perform computations, quantum computers are capable of solving problems that classical computers may find impossible or impracticable to resolve.

The global quantum computing market size is forecast to reach USD 234.06 billion by 2032 from USD 10.13 billion in 2022, rising at a compound annual growth rate (CAGR) of 36.89% during the forecast period.

At present, the quantum computing market is dominated by a few major players such as IBM, Google, Microsoft, and Honeywell. These firms are investing heavily in quantum computing research and development as well as creating quantum computing hardware and software systems.

The quantum computing market is expected to have a profound effect on industries such as healthcare, finance, logistics, and energy. Some key applications of quantum computing include drug discovery, supply chain optimization, financial modeling, and climate modeling.

Though the quantum computing market is promising, it still faces several obstacles such as high costs of hardware, a shortage of skilled experts in this area, and technical difficulties when building large-scale quantum computers. With ongoing research and development efforts, however, these problems should be overcome within the coming years, leading to even greater growth and innovation in this space.

Key Takeaways

  • The global quantum computing market size was valued at USD 234.06 billion in 2022 and is expected to grow at a CAGR of around 36.89% from 2022 to 2032.
  • Quantum computing is capable of solving problems that would be intractable or impossible for classical computers to solve.
  • The quantum computing market is dominated by a few major players, including IBM, Google, Microsoft and Honeywell.
  • The quantum computing market is expected to have a profound effect on numerous industries, such as healthcare, finance, logistics and energy.
  • Quantum computing has many important applications such as drug discovery, supply chain optimization, financial modeling and climate modeling.
  • The quantum computing market remains plagued by several obstacles, such as the high cost of quantum computing hardware, lack of qualified quantum computing experts and technical difficulties in building and running large-scale quantum computing systems.
  • Research and development are expected to overcome these obstacles within the next couple of years, propelling even greater growth and innovation in the quantum computing market.

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Regional Snapshot

  • North America: North America is currently the leading market for quantum computing, with the United States playing a major role. Major companies such as IBM, Google, and Microsoft are driving this growth through their presence and investment in research and development activities related to quantum computing. This region boasts numerous key players such as IBM, Google, and Microsoft which are driving demand within this region.
  • Europe: Europe is an increasingly important market for quantum computing, with countries such as the UK, Germany, and France investing heavily in research and development. Through partnerships between quantum computing companies and other technology firms as well as the growing adoption of quantum computing across various industries, this region’s market is experiencing rapid expansion.
  • Asia Pacific: The quantum computing market in Asia Pacific is expected to experience significant growth over the coming years due to increased investments in research and development by countries like China, Japan, and South Korea. Furthermore, there have been an increasing number of collaborations between companies using quantum computing with academic institutions as well as its increasing adoption across industries like healthcare and finance – all contributing factors for market expansion within this region.
  • The Rest of the World: Countries such as Brazil, South Africa, and the UAE are expected to experience significant growth in the quantum computing market over the coming years due to increased investments in research and development efforts as well as the growing adoption of quantum computing across various industries. These factors are fueling this region’s meteoric rise in this region.

Drivers

  • Quantum Computing Gaining Adoption in Various Industries: Quantum computing is seeing an uptick in popularity across a range of industries, such as healthcare, finance, logistics, and energy – as companies seek to use their power to solve complex problems and gain an edge in competition.
  • Investments in Quantum Computing Research and Development: Governments, academic institutions, and private companies have made substantial investments in quantum computing research and development, spurring innovation and progress within the field.
  • Growing Number of Partnerships and Collaborations: There has been an uptick in partnerships and collaborations between quantum computing companies and other technology firms, as well as academic institutions and research organizations. This trend is propelling the development of new quantum computing hardware and software systems, as well as its adoption across various industries.
  • Increasing Access to Cloud-Based Quantum Computing Services: The growing availability of cloud-based quantum computing services is making it simpler for companies and researchers to utilize this cutting-edge technology, spurring adoption and innovation within the field.

Restraints

  • Limited Access to Qualified Quantum Computing Experts: Unfortunately, there is currently a shortage of highly experienced quantum computing specialists, making it challenging for companies to construct and sustain quantum computing systems.
  • Technical Challenges in Building and Maintaining Large-Scale Quantum Computing Systems: The development of large-scale quantum computing systems is still in its early stages, so there are numerous technical obstacles that must be overcome, such as noise reduction, error correction, and scalability.
  • Limited Quantum Computing Applications: Although the list of potential applications for quantum computing is growing, the number of practical ones that have been developed and implemented remains limited. This can make it challenging for companies to justify investing in quantum computing technology.
  • Regulatory Challenges: Quantum computing technology may face regulatory restrictions, particularly around data privacy and security. This could create additional obstacles to the adoption and investment in the technology.

Opportunities

  • Growing Number of Partnerships and Collaborations: The growing number of partnerships and collaborations among quantum computing companies, other technology firms, academic institutions, and research organizations is creating opportunities for the development of new quantum computing hardware and software systems as well as its adoption across various industries.
  • Advancements in Quantum Computing Hardware and Software: With the rapid progress being made in the development of quantum computing hardware and software, new opportunities will present themselves for applying this technology across various industries and fields.
  • The growing availability of cloud-based quantum computing services: Cloud-based quantum computing services are making it simpler for companies and researchers to access and utilize quantum computing technology, spurring adoption and innovation within the field.
  • Growth of Quantum Computing as a Service: As more companies and researchers embrace the potential of quantum computing, cloud-based quantum computing services are creating exciting new business opportunities for those offering these solutions.
  • Potential for Breakthroughs in Areas such as Drug Discovery, Finance, and Energy: Quantum computing holds the potential to unravel complex issues in fields like drug discovery, finance, and energy – leading to major breakthroughs and advances. This presents companies with unique opportunities for those who can develop and implement quantum computing solutions in these sectors.

Challenges

  • Technical Challenges in Constructing and Running Large Quantum Computing Systems: As quantum computing systems continue to emerge, numerous technical obstacles must be overcome such as noise reduction, error correction, and scalability. These issues make it challenging for companies to construct and run these massive quantum computers efficiently.
  • Limited Access to Qualified Quantum Computing Experts: There is currently a shortage of highly experienced quantum computing professionals, making it difficult for companies to construct and maintain quantum computing systems. This shortage could potentially restrict the growth of this industry in the coming years.
  • Quantum computing Applications: While quantum computing has many potential uses, the number of practical applications that have been created and implemented remains limited. This could make investing in quantum computing technology and research on practical applications an attractive prospect.

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Recent Developments

  • Google Claims Quantum Supremacy: In 2019, Google claimed to have achieved quantum supremacy by performing a calculation on its quantum computer that even the most powerful supercomputers would take thousands of years to complete. This was seen as an important milestone in the advancement of quantum computing technology.
  • IBM Launches Quantum Computing Program for Students: In 2020, IBM unveiled a quantum computing program specifically tailored towards students that provides them with access to IBM’s resources and tools, as well as a platform for learning and collaboration.
  • Honeywell Achieves Quantum Computer Record Performance: On March 20, 2021, Honeywell revealed its creation of a quantum computer with an astonishing quantum volume of 512. This feat marked an amazing advancement in quantum computing technology and demonstrated how rapidly progress has been made since then.
  • Amazon Web Services Announces Quantum Computing Service: On June 2021, Amazon Web Services (AWS) announced the launch of its own quantum computing service called Amazon Bracket. This offering gives customers access to various vendors’ hardware as well as tools and resources for developing and testing quantum algorithms.

Key Market Segments

Type

  • Hardware
  • Software
  • Services

Application

  • Defense
  • Healthcare & pharmaceuticals
  • Chemicals
  • Banking & Finance
  • Energy & power

Key Market Players

  • D-Wave Systems
  • Google
  • IBM
  • Intel
  • Microsoft
  • 1QB Information Technologies
  • Anyon Systems
  • Cambridge Quantum Computing
  • ID Quantique
  • IonQ
  • QbitLogic
  • QC Ware
  • Quantum Circuits
  • Qubitekk
  • QxBranch
  • Rigetti Computing

Nature Insights

  • Progress is being made in the development of quantum computing hardware: Despite the challenges facing large-scale quantum computing systems, progress is being made on quantum computing hardware. This includes creating quantum processors with increasingly more qubits and creating new materials suitable for use in quantum computers.
  • Quantum computing software is still in its early stages: While progress is being made with quantum computing hardware, software development for quantum computation remains at a standstill. This presents an immense challenge to the industry as developing efficient quantum algorithms is essential to realizing its full potential.
  • Collaboration is essential to the advancement of quantum computing: Collaboration between companies, academic institutions, and research organizations is essential for progress in this industry. This includes joint efforts to develop new hardware and software systems as well as collaborations that promote quantum computing across various industries.

Report Scope

Report Attribute Details
The market size value in 2022 USD 10.13 Bn
Revenue forecast by 2032 USD 234.6 Bn
Growth Rate CAGR Of 36.89%
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and the Rest of the World
Historical Years 2017-2022
Base Year 2022
Estimated Year 2023
Short-Term Projection Year 2028
Long-Term Projected Year 2032

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FAQ.

What is quantum computing?

Quantum computing is a type of processing data using quantum mechanics. It relies on principles such as superposition, entanglement, and interference which enable quantum computers to perform calculations that would be impossible with classical computers.

What are some potential applications of quantum computing?

Quantum computing holds great promise for revolutionizing industries such as drug discovery, finance, energy, and logistics. Potential uses include creating new drugs and materials, optimizing supply chains and logistics networks, and even improving weather forecasting models with greater precision.

What are some of the challenges facing the quantum computing market?

The quantum computing market faces numerous obstacles, such as technical difficulties in building and running large-scale quantum computers, high costs associated with quantum computing hardware, a scarcity of highly qualified quantum experts, and an absence of practical applications developed and deployed.

Who are some of the major players in the quantum computing market?

Major companies operating within this space include IBM, Google, Microsoft, Honeywell, Intel, and Rigetti Computing. These firms are actively developing and commercializing quantum computing hardware and software systems.

What is the outlook for the quantum computing market?

Overall, analysts anticipate a bright future for quantum computing, with continued investment and innovation anticipated in the coming years. Though still in its early stages of development, its potential advantages are immense - leading to rapid industry growth over the coming years.

Prudour Private Limited

The team behind market.us, marketresearch.biz, market.biz and more. Our purpose is to keep our customers ahead of the game with regard to the markets. They may fluctuate up or down, but we will help you to stay ahead of the curve in these market fluctuations. Our consistent growth and ability to deliver in-depth analyses and market insight has engaged genuine market players. They have faith in us to offer the data and information they require to make balanced and decisive marketing decisions.

China has invested $15.3 billion in quantum research, becoming the third country to deliver a complete quantum computer system, after the US and Canada.

Title:

Content: Computing

INTERNATIONAL NEWS

China Delivers Its First Practical Quantum Computer System to a Customer

China’s Science Ministry on Monday announced that the country’s first practical quantum computer was delivered to a user, which the agency didn’t identify, a year ago.

The 24-qubit Wuyan system based on superconducting technology was built by Origin Quantum Computing Technology, a company founded in 2017 by two of the country’s leading quantum physicists, Guo Guoping and Guo Guangcan. A qubit in the quantum world performs functions akin to bits in the digital world.

With the on-premises installation of the Wuyan system, China became the third country, after Canada and the United States, to deliver a complete quantum computer system to a customer.

Some skeptics questioned the timing of the announcement.

“Quantum technology has a high priority for national security in China. If this were something very important, I doubt it would be disclosed like this in a transparent way by Chinese authorities,” explained Weifeng Zhong, a senior research fellow at the Mercatus Center of George Mason University in Fairfax, Va.

“The fact that it was delayed for a year suggests that they realize now that it’s not important to national security, so they’re trying to use it to build China’s image as a technology leader at a time when they’re trying to open up their economy to the rest of the world,” Zhong told TechNewsWorld.

Important Step

However, Hodan Omaar, a senior AI policy analyst at the Center for Data Innovation, a think tank studying the intersection of data, technology, and public policy, in Washington, D.C., maintained the announcement shows that China has made an important step in its quantum development.

“Overcoming technical challenges on the path toward large-scale quantum computers will depend on the ability to scale the number of qubits in quantum systems, much like modern classical computers have depended on the growth in the number of transistors in superconducting chips,” Omaar told TechNewsWorld.

“Investing in near-term quantum computing applications helps bolster the development of longer-term use cases of the technology, thereby helping to improve competitiveness,” she added.

Skip Sanzeri, co-founder and COO of QuSecure, a maker of quantum-safe security solutions in San Mateo, Calif., called the announcement “formidable” because China is stating that they have a fully functional quantum computer, albeit the qubit count is low.

“Nonetheless, error correction and noise reduction are two significant factors in ensuring that a quantum computer can process data and provide applications that we can rely on,” Sanzeri told TechNewsWorld. “By announcing that they have been able to get to this level shows that China is making progress towards larger quantum computers.”

Bucking a Trend

The Wuyan system appears to be on par with other systems in the market, noted Heather West, a senior research analyst at IDC’, an international market research company.

“The fact that they sold a 24 qubit system to someone isn’t that different from what we’re seeing elsewhere around the world,” West told TechNewsWorld.

Delivering a standalone system like the Wuyan is actually bucking the current trend in the market.

“Most quantum computers that people are accessing today are accessed through the cloud,” explained Doug Finke, an analyst with Global Quantum Intelligence, an international market intelligence firm.

“This Wuyan computer is being delivered to a customer in an on-premise situation,” Finke told TechNewsWorld. “On-premise has a lot of disadvantages. You have to worry about maintenance. You have to worry about spare parts. You have to worry about calibration.”

“In addition,” he continued, “quantum computing innovation is so fast that they become obsolete in about two years. So few people want an on-premise quantum computer. They’re much more comfortable with the cloud.”

Superconducting Challenges

The Wuyan system is built using superconducting chip technology, one of the earliest technologies for quantum computers. Since its introduction, other technologies have been explored. They include photonics, trapped ions, and neutral atoms.

“At the moment, no one knows which technology will be the winner or if there’ll be a combination of technologies that will combine for efficacious quantum applications,” Sanzeri said.

“Superconducting is very difficult,” he explained. “It requires near zero Kelvin refrigeration.”

“The electrons used in superconducting quantum computers are very hard to manage due to very short coherence times,” he continued. “That’s why they must be cooled to such a low temperature.”

Other methods are managing longer coherence times and a faster path to the desired goal of 1,000 error-corrected qubits, he added.

“The million-dollar question is what technology will win the race to the fault-tolerant quantum computer,” West said. “There might not be one winner. There might not be one system that comes out on top. It might be that certain kinds of systems are better than others at solving certain kinds of problems.”

Long View

Omaar countered that superconducting chips have a number of advantages over competing technologies.

“First, superconducting qubits are solid-state electrical circuits that are easier to control because they are manipulated using microwaves,” she said. “Scientists can therefore use easily accessible commercial microwave devices and equipment in superconducting quantum computing applications.”

“Second,” she continued, “because preparing superconducting circuits is based on the existing method for fabricating semiconductor chips, the development of high-quality devices can leverage advanced chip-making technologies, which is good for manufacturing and scalability.”

Despite developments like China’s Wuyan system, the arrival of a quantum computer that can tackle problems beyond the capacity of silicon computers appears to be years away.

“What quantum computers are going to be best for is solving complex, intractable problems beyond the scope of classical compute technology,” West said. “Those problems are years away from a quantum computer solving.”

“To get to that, we need at least a million qubits,” she continued. “That’s going to take a lot of work in scaling and stabilizing the qubits. Qubits are very sensitive to outside noise. As a result, the error rates are high in the technology we have.”

Despite the exuberance exhibited by many, we’re still in the early days of quantum computing, added Richard Stiennon, founder and chief research analyst at IT-Harvest, a cybersecurity industry analyst firm in Birmingham, Mich.

“There are many physical constraints on quantum computing that require precision in length of pathways — we are talking microns — and resistance to forces — footsteps can interfere with it. Supercooled chips just add to the complexity,” Stiennon told TechNewsWorld.

“I put it in the same realm as developing usable nuclear fusion as an energy source,” he said. “Hundreds of billions of dollars and decades to show a glimmer of progress.”

John P. Mello Jr. has been an ECT News Network reporter since 2003. His areas of focus include cybersecurity, IT issues, privacy, e-commerce, social media, artificial intelligence, big data and consumer electronics. He has written and edited for numerous publications, including the Boston Business Journal, the Boston Phoenix, Megapixel.Net and Government Security News. Email John.

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How much have countries and blocs invested in quantum computing?

What countries and blocs are leading in developing quantum computing?

The US is a major player, with IBM and Google achieving quantum supremacy in 2019 and 2021, respectively.

Title:

Content: Google, IBM and China have already achieved quantum supremacy. Now they face another challenge: the correction of errors

Quantum supremacy is no longer at the center of the debate. It was at the end of 2019 because it came to light that the Google team led by John Martinis had managed to achieve it using its Sycamore quantum processor, and no one had done it until that moment. The noise that this news caused when it broke was justified.

But a year later, in December 2020, the group of Chinese researchers led by Jian-Wei Pan published an article in Science showing that I had also reached using its Zuchongzhi superconducting processor. And a year later, in November 2021, IBM followed suit and announced that it had reached this milestone using its 127-qubit Eagle quantum processor.

At this point no one doubts that quantum computers have come a long way. And, furthermore, they have done it in a real record time if we bear in mind that the first solid theoretical proposals arrived in the mid-1990s. And they are already capable of solving a few problems (very few still). in much less time than the most advanced supercomputers we currently have.

In fact, this is what quantum supremacy consists of: in solving in a short period of time, a few minutes or a few hours, a problem in which a classical supercomputer would spend many years. Even several centuries. Or millennia. Right now it is not too important whether these problems have practical applications or not. Whether or not they are relevant. We are still establishing the foundations of quantum computing, and the important thing is to face the challenges that are around the corner.

In search of higher quality qubits

One of the biggest challenges facing researchers involved in the development of quantum computing is delaying the onset of quantum decoherence. This phenomenon occurs when the necessary conditions for a system that is in an entangled quantum state to be maintained disappear.

Perhaps a slightly simpler way of describing it is to see it as a system that stops behaving as dictated by the rules of quantum mechanics when certain conditions are met, beginning to behave from that moment on as dictated by the rules of classical physics. . When does quantum decoherence appear? quantum effects disappear. And, therefore, also the advantages that they bring in the context of quantum computing.

The time it takes for quantum decoherence to appear is closely linked to the quality of the qubits

This phenomenon is very important because it helps us understand why many macroscopic physical systems do not exhibit quantum effects. Or, what is the same, why in our daily environment we cannot observe the counterintuitive effects of quantum mechanics. In any case, what is really relevant is that as the the quality of the qubits of a quantum processor, the longer it takes for quantum decoherence to appear. And, for this reason, we have more time available to carry out operations with it.

The two qubit fabrication technologies that are currently giving us the best results are superconducting qubits, which benefit greatly from recent advances in silicon lithography, and ion traps. However, some research groups also have other very promising technologies on the table that are worth pursuing, such as neutral atoms or the ions implanted in macromolecules.

IBM already has a 127-qubit superconducting quantum processor, and by the end of 2023 it plans to have Condor ready, a promising quantum chip with no less than 1,121 qubits.

We already brush the correction of errors with the tips of our fingers

The other big challenge facing quantum computing right now is error correction. Quantum computers make errors when carrying out some operations, and when this happens, the results they return to us are not correct, of course. The problem is that implementing a quantum error correction protocol it’s not trivial. And furthermore, if they abound, it is essentially impossible to correct them and simultaneously prevent the quantum processor’s efficiency from sinking.

Fortunately, we have good news. As we told you a few days ago, three independent research groups have managed to perfect superconducting qubits that have an accuracy greater than 99%. This simply means that they make mistakes very infrequently, and the good news is that when they are so infrequent it is easier to correct them. Much easier.

When the incidence of errors is less than 1%, it is much easier for quantum fault-correction protocols to carry out their task

In fact, these research groups ensure that when the incidence of errors is less than 1% quantum fault-correction protocols find it much easier to do their job. At the moment they are working with only one or two qubits, and these quantum processors are too simple to solve significant problems, but if they manage to scale this technology to many more qubits, quantum computers could leave behind one of the biggest challenges they currently face. .

As we have just seen, quantum computing is advancing at a breakneck pace. The entry of private companies in this sector you are greatly accelerating your progress, but before we get carried away with enthusiasm, it is important that we keep in mind that there are other challenges that are also crucial to solve.

Two of the most substantial are the need to control qubits more precisely, and also the importance of implementing new quantum algorithms that they are able to help us tackle the problems that we cannot solve with the most powerful classical supercomputers that we have today. Still, the future for quantum computing is hopeful. And, above all, very promising.

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What countries and blocs are leading in developing quantum computing?

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What countries and blocs are leading in developing quantum computing?

What have been the landmark achievements in quantum computing?

Google's Sycamore quantum supremacy experiment

Canada has invested $400 million to become a global quantum leader.

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Content: There were 1,711 press releases posted in the last 24 hours and 342,181 in the last 365 days.

Supporting Canada's leadership in quantum computing to grow the economy and create jobs

TORONTO, Jan. 23, 2023 /CNW/ - Quantum technologies are at the leading edge of science and innovation. As Canadian researchers, workers and businesses continue to demonstrate leadership on the world stage in innovating and developing quantum technologies, we have the potential to transform how we work and live in Canada and around the world – in areas from fighting climate change to making advancements in health care. The Government of Canada will continue to support Canadian companies to help them keep growing and staying competitive, while driving economic growth and creating highly skilled and well-paying jobs for Canadians.

The Prime Minister, Justin Trudeau, today announced a new federal investment of $40 million to enable the Toronto-based Canadian quantum computing company Xanadu Quantum Technologies Inc. to build and commercialize the world's first photonic-based, fault-tolerant quantum computer. Once developed, this computer will have the potential to provide world leading capabilities to help solve complex data problems and could be used in a variety of sectors such as finance, transportation, environmental modelling, and health.

Supported through the government's Strategic Innovation Fund, this $177.8 million project is expected to create 530 new highly skilled positions in the high-tech and quantum computing fields.

Home to some of the world's largest quantum tech hubs, Canada is well positioned to become a global leader in the developing quantum sector, which will create new opportunities for Canadians and Canadian businesses. The Government of Canada will continue to invest in innovative companies to grow the economy and create highly skilled and well-paying jobs for Canadians.

Quotes

"Quantum technology is changing the world as we know it. With the potential to solve difficult problems in key areas such as health care, finance, and climate sciences, this sector expands the realm of possibility. Today's announcement is great news for Canadian workers and businesses. This investment will bring good jobs, spur economic growth, boost innovation, and solidify Canada as a world leader in quantum technology."

— The Rt. Hon. Justin Trudeau, Prime Minister of Canada

"Quantum technologies will set the course of the future and thanks to companies like Xanadu, Canada is at the forefront ready to lead. With today's announcement, our government is strengthening Canada's position in quantum technology and helping to create more economic growth and good jobs for Canadians. We'll continue to build this sector through our National Quantum Strategy and support made-in-Canada technology so Canada remains a world leader for decades to come."

— The Hon. François-Philippe Champagne, Minister of Innovation, Science and Industry

"The government's continued investment in quantum technologies has been invaluable to our success. We are proud to be a Canadian company and, with this investment, are excited to enter the next phase in our mission to build quantum computers that are useful and available to people everywhere."

— Christian Weedbrook, Founder and CEO, Xanadu

Quick Facts

  • Since the birth of quantum science more than 100 years ago, quantum technologies have been the source of many game-changing innovations such as semiconductors and the laser.
  • Quantum science is the study, manipulation, and control of systems at the atomic and subatomic level.
  • It is estimated that by 2045, the Canadian quantum industry will be a $139 billion industry, including all economic effects, and account for over 200,000 jobs, according to a study commissioned by the National Research Council in 2020.
  • Earlier this month, the Government of Canada launched its National Quantum Strategy, which invests an additional $360 million to help solidify Canada as a global leader in quantum technologies.
  • Over the past 10 years, the Government of Canada has invested more than $1 billion in quantum research and science.
  • Additionally, the government has invested in bringing new quantum technologies to the Canadian and global markets, including investments through Canada's regional development agencies, the Strategic Innovation Fund, and the National Research Council of Canada's Industrial Research Assistance Program.
  • Xanadu is a notable contributor to Canada's innovation ecosystem and has committed to continuing to support innovation, growth, and Canada's research and development sector.
  • Founded in 2016, Xanadu is a Toronto-based Canadian quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu has become one of the world's leading quantum hardware and software companies and leads the development of PennyLane, an open-source software library for quantum computing and application development.

Associated Links

This document is also available at https://pm.gc.ca

SOURCE Prime Minister's Office

View original content: http://www.newswire.ca/en/releases/archive/January2023/23/c3179.html

What countries and blocs are leading in developing quantum computing?

The UAE, Finland, and Germany are also investing in quantum computing, a global market expected to reach $1 trillion by 2035.

Title:

Content: Monday, 25 March 2024 02: 58 GMT
UAE invests in ‘ quantum computing ’ to look to the future
(MENAFN- Al-Bayan)
The UAE is investing in the sector of quantum computing, which is expected to reach a global market value of $1 trillion in 2035, as one of the fastest expanding fields of technology in the world and because of its innovative applications capable of solving challenges in many sectors, because of its strength and speed in calculating physical phenomena, compared to traditional computers.
The UAE aims to invest in quantum computing to enable innovation and a knowledge and sustainable economy through the Quantum Research Center and UAE institutes and universities to explore the future of this vital sector. The Institute of Technology Innovation ’ s (TII) Quantitative Research Center is working to build the first quantum computer in the UAE, according to the Interregional Center for Strategic Analytics in Abu Dhabi.
The UAE has quickly realized the benefits of the quantum computing sector in all sectors and fields, especially in the economy and scientific research, as part of the country ’ s long-term strategies to keep pace with the global technological development represented by the fourth industrial revolution and artificial intelligence, which will change the face of the world in the coming years.
IDC expects global investments in quantum computing to reach $16.4 billion by the end of 2027, with a compound annual growth rate of 11.5%, which includes investments by the public and private sectors and R & D spending from technology, services and finance companies.
There is growing interest in quantum computing by global government agencies, with 14 of them (13 countries plus the European Union) announcing multi-year initiatives that will generate billions of dollars for quantum computing research.
The center said that the UAE is among the 50 projects working to create an attractive investment environment for investments in new and future sectors, including quantum computing technology.
According to Accenture Middle East, quantum computing technology is advancing rapidly, making it a promising technology sector.
The US and China dominate the quantum computing sector to take advantage of the features of the new technological revolution that has enabled scientists to study the basic particles of matter, whose applications have multiplied across different fields despite their relative novelty, promising radical transformations for any industry dependent on speed and processing power, including aerospace, automotive, medicine and others.
Quantum computing technologies have a huge market value, with quantum computing alone expected to reach a global market value of $1 trillion by 2035.
Quantum technology has played a role in many areas, including complex mathematical models, simulations, electronic devices, CT scanners and many others, as it has the potential to revolutionize the way humans communicate and process information at record speeds.
The most prominent areas of use of quantum computing can be found in many fields of military, communications and medicine, and can address economic crises and challenges quickly, and there is no doubt that quantum computing technology can change the map of national industries.
Major technology companies are leading efforts to develop quantum computing, with Google Research Lab and IBM, which built one of the largest quantum computers in the field, and the Chinese University of Science and Technology has developed a quantum computer that is 10 billion times faster than the computer developed by Google.
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Title:

Content: Finland has big plans for quantum computing applications

The QuTI project will develop new components, manufacturing and testing solutions, and algorithms for the needs of quantum computing applications.
25 January 2022

Quantum computing applications are expected to be adopted by more industries this year as organizations around the world begin testing the use cases for the technology. While organizations are the ones most looking forward to making the most of the technology, a few governments are also hoping quantum computing applications can improve their services.

In Finland, their first-ever quantum computer was commissioned at a research center near the capital. Scientists are expected to use it to study next-generation computing power. The 5 quantum-bit computers were developed to learn how to build a quantum computer, how to program one, and how to operate one in the future.

The state-owned VTT Technical Research Center (VTT) plays a crucial role in ensuring researchers learn in a range of scientific domains and making quantum computing applications ready for the industry. According to a report by Computer Weekly, the Finnish government believes that the best way to be ready for the quantum computing industry is to build a working quantum computer.

Computer Weekly also highlights five areas for quantum computing applications. They are in drug and materials discovery, supply chain and logistics, financial services, artificial intelligence, and cloud security.

For drug and materials discovery, Computer Weekly reports that a separate team in VTT which is the quantum algorithm team is developing algorithms to be used on the quantum computer. They are looking at two broad types of quantum computing applications. The first is to solve complex optimization problems that exist in many industries. This includes energy distribution, process control, and fleet management. The second is to predict the structures and properties of molecular formations more accurately and effectively. This will help accelerate drug discovery and the development of new materials.

While other countries are also developing quantum computer ecosystems, with the majority focusing on topics and platforms. Tech vendors like IBM and Google, who are also developing quantum use cases are not government-linked or owned and are mostly testing industry use cases.

Compared to the rest of the world, Finnish researchers focus almost exclusively on the superconducting qubit approach, which they have been using for years and know very well. In fact, a new research project has just been launched to accelerate the progress of Finnish quantum technology.

The QuTI project, coordinated by VTT, will develop new components, manufacturing and testing solutions, and algorithms for the needs of quantum technology. The QuTI consortium, partly financed by Business Finland, consists of 12 partners and has a total budget of around EUR 10 million.

For Professor Mika Prunnila, QuTI project’s coordinator, from VT, “Quantum technology is a multidisciplinary and rapidly advancing field. The QuTI consortium provides an ideal starting point for strengthening the international competitiveness of Finnish technology and industry in this fast-growing field.”

The quantum computing, communication and sensing devices to be developed in the QuTI project are largely based on expertise in microsystems, photonics, electronics, and cryogenics. The project develops customized software and algorithms hand in hand with the hardware, strengthening the Finnish quantum computing infrastructure. In addition, new tools will be created for quantum technology product development that will serve the needs of the QuTI project as well as the entire field of quantum technology.

As China and the US continue to battle each other for quantum computing supremacy, Finland is definitely building their presence in the industry as well. With the government supporting quantum computing initiatives, Finland might just have a quantum computing ecosystem on the horizon.

Quantum computing may solve complex problems in fields like medicine, finance, and energy, leading to breakthroughs in drug discovery and materials development.

Title:

Content: Finland has big plans for quantum computing applications

The QuTI project will develop new components, manufacturing and testing solutions, and algorithms for the needs of quantum computing applications.
25 January 2022

Quantum computing applications are expected to be adopted by more industries this year as organizations around the world begin testing the use cases for the technology. While organizations are the ones most looking forward to making the most of the technology, a few governments are also hoping quantum computing applications can improve their services.

In Finland, their first-ever quantum computer was commissioned at a research center near the capital. Scientists are expected to use it to study next-generation computing power. The 5 quantum-bit computers were developed to learn how to build a quantum computer, how to program one, and how to operate one in the future.

The state-owned VTT Technical Research Center (VTT) plays a crucial role in ensuring researchers learn in a range of scientific domains and making quantum computing applications ready for the industry. According to a report by Computer Weekly, the Finnish government believes that the best way to be ready for the quantum computing industry is to build a working quantum computer.

Computer Weekly also highlights five areas for quantum computing applications. They are in drug and materials discovery, supply chain and logistics, financial services, artificial intelligence, and cloud security.

For drug and materials discovery, Computer Weekly reports that a separate team in VTT which is the quantum algorithm team is developing algorithms to be used on the quantum computer. They are looking at two broad types of quantum computing applications. The first is to solve complex optimization problems that exist in many industries. This includes energy distribution, process control, and fleet management. The second is to predict the structures and properties of molecular formations more accurately and effectively. This will help accelerate drug discovery and the development of new materials.

While other countries are also developing quantum computer ecosystems, with the majority focusing on topics and platforms. Tech vendors like IBM and Google, who are also developing quantum use cases are not government-linked or owned and are mostly testing industry use cases.

Compared to the rest of the world, Finnish researchers focus almost exclusively on the superconducting qubit approach, which they have been using for years and know very well. In fact, a new research project has just been launched to accelerate the progress of Finnish quantum technology.

The QuTI project, coordinated by VTT, will develop new components, manufacturing and testing solutions, and algorithms for the needs of quantum technology. The QuTI consortium, partly financed by Business Finland, consists of 12 partners and has a total budget of around EUR 10 million.

For Professor Mika Prunnila, QuTI project’s coordinator, from VT, “Quantum technology is a multidisciplinary and rapidly advancing field. The QuTI consortium provides an ideal starting point for strengthening the international competitiveness of Finnish technology and industry in this fast-growing field.”

The quantum computing, communication and sensing devices to be developed in the QuTI project are largely based on expertise in microsystems, photonics, electronics, and cryogenics. The project develops customized software and algorithms hand in hand with the hardware, strengthening the Finnish quantum computing infrastructure. In addition, new tools will be created for quantum technology product development that will serve the needs of the QuTI project as well as the entire field of quantum technology.

As China and the US continue to battle each other for quantum computing supremacy, Finland is definitely building their presence in the industry as well. With the government supporting quantum computing initiatives, Finland might just have a quantum computing ecosystem on the horizon.

What advantages do quantum computers have over conventional computers?

extremely complex calculations
extremely fast calculations

What fields can quantum computers advance?

What advantages do quantum computers have over conventional computers?

extremely complex calculations
extremely fast calculations

What fields can quantum computers advance?

Challenges include high costs, limited expert availability, and technical difficulties in building large-scale quantum computers.

The quantum computing market is expected to grow at a 36.89% compound annual growth rate from 2022 to 2032, driven by applications in optimization, simulation, and machine learning.

What fields can quantum computers advance?

IBM, Google, and Microsoft are using quantum computing for applications like battery simulation and complex event analysis.

Title:

Content: The present and future of quantum computing
New Research 2022 / 12 / 13 19: 16: 07 Edited by: Yuansheng
The limitations of contemporary supercomputers, as well as their implications for academia and institutions around the world, are drawing the attention of the scientific community.
For example, researchers can use current techniques to perform more complex simulations, such as those that focus on chemistry and the reactive properties of each element.
However, as the complexity of these interactions increases, they become more challenging for current supercomputers.
Due to the limited processing power of these devices, it is nearly impossible to complete these types of calculations, forcing scientists to choose between speed and precision when conducting these studies.
To provide some context for the breadth of these experiments, let ’ s start with the example of hydrogen atom modeling.
With only one proton and one electron in hydrogen, researchers can easily perform chemical reactions manually or rely on computers to complete calculations.
However, depending on the number of atoms and whether the electrons are entangled, the process becomes more difficult.
To write out every conceivable result of an element like thulium, which contains a staggering 69 electrons, all twisted together, would take more than 20 trillion years.
Obviously, this time is too long for us, and we need a new way out.
Quantum computers open the door to a whole new world of possibilities.
The equations needed to simulate chemistry have been known to the scientific community since the 1930s, but it has only recently begun to build computers with the ability and reliability to perform these calculations.
Today ’ s quantum computers provide the speed researchers need to mimic all aspects of chemistry, making them significantly predictive and reducing the need for laboratory testing.
Colleges and universities may be able to use quantum computers to augment existing knowledge of chemistry.
Consider the potential time and cost savings that could be achieved if quantum computers were able to eliminate the need for laboratory testing during research.
Moreover, since the computational power to master chemical properties did not exist previously, this step could lead to a major step forward in chemistry previously unknown to the world
01. Quantum computing in practice
Many companies are already using quantum computing.
For example, IBM is working with Mercedes-Benz, ExxonMobil, CERN, and Mitsubishi Chemical to implement quantum computing into their products and services:
Mercedes-Benz
Mercedes-Benz is exploring quantum computing to create better batteries for its electric vehicles.
The company hopes to shape the future of modern electric vehicles by implementing quantum computing in its products and making an impact on the environment by implementing quantum computing in its products in an effort to be carbon neutral by 2039.
Simulating what ’ s going on inside a battery is incredibly difficult, even with today ’ s most advanced computers.
However, using quantum computing technology, Mercedes-Benz can more accurately simulate chemical reactions in car batteries.
Exxon Mobil
ExxonMobil is using quantum algorithms to more easily discover the most efficient routes for transporting clean combustion fuels around the world.
Without quantum computing, it would be almost impossible to compute all routing combinations and find the most efficient routing combinations.
European Centre for Nuclear Research
The European Centre for Nuclear Research (CERN) is trying to discover the secrets of the universe.
Using quantum computing, CERN can find algorithms to pinpoint complex events in the universe in a more efficient way.
For example, quantum computing could help CERN figure out patterns in the Large Hadron Collider (LHC) data.
Mitsubishi Chemical
A team from Mitsubishi Chemical and Keio University is working on a key chemical step for lithium-oxygen batteries: lithium superoxide rearrangement.
They are using quantum computers to "perform accurate simulations of what happens inside a chemical reaction at the molecular level".
Advantages and disadvantages of quantum computing
Quantum computing has the potential to revolutionize industries such as finance, pharmaceuticals, artificial intelligence, and automotive in the coming years, fundamentally changing the world around us.
The value of quantum computers comes from the probabilistic way in which they operate.
By using the probabilistic computing style directly instead of simulating it, computer scientists have shown potential applications for fast search engines, more accurate weather forecasts, and precise medical applications.
In addition, quantum computers represent the original motivation for the development of quantum computing and are very useful in directly simulating quantum mechanics.
Perhaps the main appeal of quantum computing is that it can solve problems faster, making it ideal for applications that need to handle large amounts of data (for example, aerospace logistics, drug manufacturing, molecular research, or other fields that use canonical processes at the atomic level).
However, creating a powerful quantum computer is not an easy task and involves many drawbacks.
The sensitivity of quantum computing systems to extreme temperatures is one of the main drawbacks.
In order for the system to function properly, it must be near absolute zero temperature, which poses a major engineering challenge.
Moreover, quantum bit quality is not where it needs to be.
After a given number of instructions, qubits can produce inaccurate results, and quantum computers lack error correction to solve this problem.
Because of the number of wires or lasers required to make each qubit, keeping control is difficult, especially if the goal is to create a chip with a million qubits.
And quantum computing is very expensive: the cost of a single qubit can be as high as $10,000 or so.
Finally, if standard information systems and encryption methods are used for malicious purposes, they will be overwhelmed by the processing power of quantum computers.
These computers ’ reliance on the principles of quantum physics allows them to decrypt the most secure data (e.g., bank records, government secrets, and internet / email passwords).
Cryptography experts around the world will need to develop encryption techniques that can withstand possible attacks from quantum computers.
Impact of Quantum Computing on Higher Education
The education community is always looking for new opportunities for growth and prosperity.
Many higher education institutions have begun extensive research into quantum computing, using the unique properties of quantum physics to usher in a new era of technology, including computers capable of performing currently impossible computations, ultra-secure quantum networks, and exotic new quantum materials.
Oxford University
Researchers at the University of Oxford are interested in quantum research because of its huge potential in areas such as healthcare, finance and security.
The university is recognized worldwide as a pioneer in the field of quantum science.
Oxford and York universities demonstrate first working pure state NMR quantum computer
Harvard University
Researchers at Harvard University have established a community group, the Harvard Quantum Initiative for Science and Engineering, with the goal of making significant progress in science and engineering related to quantum computers and their applications.
According to research conducted by the group, the “second quantum revolution ” will build on the first quantum revolution, which is responsible for the development of global communications, technologies such as GPS flight, and medical breakthroughs such as magnetic resonance imaging.
University of Maryland
Researchers from the University of Maryland's Department of Physics, the National Institute of Standards and Technology, and the Physical Sciences Laboratory are part of the Joint Quantum Institute "dedicated to the goal of controlling and utilizing quantum systems."
Institute of Technology
MIT researchers have built a quantum computer and are working on areas such as quantum algorithms and complexity, quantum information theory, measurement and control, and applications and connectivity.
University of California, Berkeley
Researchers at the Center for Quantum Computing and Information at the University of California, Berkeley are working on basic quantum algorithms, cryptography, information theory, quantum control, and experiments with quantum computers and quantum devices.
University of Chicago Quantum Exchange
Researchers at the University of Chicago Quantum Exchange are focusing on developing new ways to understand and utilize the laws of quantum mechanics. CQE encourages collaboration, joint projects and information exchange between research groups and collaborating institutions.
China University of Science and Technology
Researchers at the University of Science and Technology of China are exploring quantum optics and quantum information.
Areas of major interest include quantum foundations, free space and fiber-based quantum communication, superconducting quantum computing, supercooled atomic quantum simulations, and quantum metrology theory and theory-related concepts.
One broad impact on higher education is that quantum computing will open up new careers for tomorrow ’ s students.
In addition, this technology will allow for accurate forecasting of the overall growth of the job market and the demand for skilled and knowledgeable workers in all fields.
In the near future, the power of quantum computing will be unleashed on machine learning.
In the field of education, quantum-driven algorithms will make informed decisions about student learning and deficiencies, just as quantum computing promises to revolutionize medical classification and diagnosis.
In addition, quantum computing will power a new era of individual learning, knowledge and achievement.
This will be achieved by processing large amounts of student data in a timely manner, and quantum computers may eventually have the ability to control programs designed to accommodate students ’ unique achievements and abilities, as well as backfilling specific areas where students may need help.
These aspects of quantum computing are critical to achieving the goal of truly personalized learning.
Through the cloud, you can access any of the relatively small number of physical quantum subcomputers in the world.
These computers include the 20 + IBM Quantum System One, which is currently installed more in the United States, Germany and Japan, and more are planned in the United States, South Korea and Canada.
Anyone with an internet connection can log on to a quantum computer and be educated on the basics of quantum programming.
For example, IBM offers a variety of quantum-centric education programs, including access to quantum computers, teaching support, summer schools, and hackathons.
The IBM Quantum Educator and Investigator Program and Qubit ’ s “Introduction to Quantum Computing ” are just two examples of quantum computing resources that are accessible to educators and students alike.
Such initiatives are absolutely necessary.
Colleges and universities around the world need to collaborate to bridge the current knowledge gap in quantum education and prepare the next generation of scientists and engineers.
04 、 Conclusion
The quantum computing revolution is happening.
We have just entered a new era of computing.
Next generation computing is not the next generation of hardware, but the next generation of algorithms and computing
Quantum computers use quantum mechanics principles to solve problems.
Compared to classical computers, the state of a quantum system is inherently probabilistic.
This means that quantum computers can handle many times more computations than conventional computers.
05, extended reading
The main players in quantum computing can be divided into four categories: the first category is international technology giants, such as IBM, Google, Honeywell, etc.; the second category is quantum computing startups, such as Rigetti, IonQ, etc.; the third category is national scientific research institutes, such as Fermilab, Argonne National Laboratory, and the Institute of Quantum Information and Quantum Technology Innovation. University of Cambridge, University of Science and Technology of China, Harvard University, etc.
Today's quantum computers can only deal with one or a few aspects of the problem, and they have not yet reached the level of generality.
Quantum technology companies not only need to invest heavily in developing quantum computers, but also need to have many researchers designing and manufacturing quantum hardware and software to support these machines.
In the future, general quantum computers need to work on the underlying quantum physics equipment, quantum computer architecture, quantum resource scheduling, upper quantum programming language, quantum algorithms and quantum application software.
The following are typical representatives of the quantum computing industry regarding the latest technological and commercial advances in quantum computing.
The information provided herein is for general guidance and informational purposes only, and the contents of this article should not be considered investment, business, legal or tax advice under any circumstances.
This article is from the WeChat public account: new research (ID: chuxinyanjiu), author: Yousef Fazea, compiled by: Tang Shi
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Key word: quantum computing
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What advantages do quantum computers have over conventional computers?

What are important areas in quantum research?

Companies like NVIDIA and Terra Quantum are researching hybrid quantum-classical systems.

Title:

Content: Terra Quantum announces hybrid quantum computing collaboration with NVIDIA

Terra Quantum collaborates with NVIDIA to develop quantum-accelerated applications. The partnership aims to bridge the gap between classical and quantum computing, leveraging hybrid algorithms.

Terra Quantum, a quantum services company with headquarters in Germany and Switzerland, has today announced a collaboration with NVIDIA aimed at fostering the development of quantum-accelerated applications.

The chicken and egg conundrum

As the manufacturers of quantum computers and error correction mechanisms continue to compete in a qubit arms race, in order to do the algorithm research needed to develop applications that can leverage this technology, scientists need a solution to bridge the divide between classical and quantum computing. A chicken and egg conundrum that Terra Quantum has been working on since 2019 with its hybrid algorithm approach.

Focusing on harnessing the power of quantum computing, both hybrid now and native in the future, and applying it specifically in the fields optimisation, simulation, and machine learning, the Swiss/German outfit has assembled, in the words of its founder and CEO Markus Pflitsch, “one of the largest libraries in the world” of algorithms designed to not only deliver unprecedented accelerated computing solutions using today’s hybrid computational power but ones that will scale exponentially when native quantum hardware is realised.

The quantum inflection point

There is no arguing that NVIDIA has been instrumental, if not the linchpin in driving the explosion of AI technologies that proliferate today’s headlines.

The company is so crucial to the development of next-gen technologies that world governments have butted heads on who has dibs on the company’s next purchase orders.

And now, according to Pflitsch, we’re about to see the same revolution in quantum computing.

Driven by NVIDIA’s open-source CUDA Quantum initiative, a project that allows for the integration and programming of quantum processing units (QPU), graphics processing units (GPU), and central processing units (CPU) all in one system, the chicken and egg conundrum has seemingly met its match.

C-suite proof

While we’ve seen governments pour tremendous amounts of money into quantum, China $9.7 billion, the United States $1.9 billion, and the European Union $1.1 billion, government support can and will only take the market so far.

To fully realise and advance the potential of a technology, c-suite executives have to see the bottom line in dollars and cents. Helping to move this needle Terra Quantum has partnerships with a number of blue chip organisations including HSBC, Thales, and Schaeffler Group.

Now in collaboration with NVIDIA providing its CUDA Quantum participants with access to Terra Quantum’s library of algorithms, that needle is set to jump.

Pflitsch shared:

“We are using our hybrid quantum algorithms delivered on NVIDIA GPUs to deliver significant business impact today. This collaboration will not only accelerate this impact but also help unlock  a whole new range of opportunities in the areas of machine learning and simulation — while also setting a pathway for quantum computing.”

Furthermore, NVIDIA’s director of HPC and Quantum Tim Costa explained:

“Our collaboration with Terra Quantum will put CUDA Quantum into the hands of a new set of  researchers working to build the world’s first quantum accelerated applications, contributing to breakthroughs on the path to valuable quantum computing.”

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Nvidia positions for quantum computing with new products

03/21/2023 | 05:31pm EDT

(Reuters) - Nvidia Corp, the computing company powering the bulk of artificial intelligence, is positioning itself as a key player in quantum computing with the launch of new software and hardware.

On Tuesday at its developer conference GTC, Nvidia unveiled CUDA Quantum, a platform for building quantum algorithms using popular classical computer coding languages C++ and python. The program would help run the algorithm across quantum and classical computers depending on which system is most efficient in solving the problem.

The new platform is named after CUDA, the software most AI developers use to access Nvidia's graphics processing unit (GPU) and which has given Nvidia chips a huge competitive edge.

"CUDA Quantum will do the same for quantum computing, enabling domain scientists to seamlessly integrate quantum into their applications and gain access to a new disruptive computing technology," said Tim Costa, Nvidia's director of HPC and quantum.

One difference, Costa said, is while CUDA is proprietary, CUDA Quantum is open source and was developed with input from many quantum computing companies.

Nvidia also launched a new hardware system called DGX Quantum to connect the quantum computer with classical computers. It was designed in partnership with Israeli-based startup Quantum Machines whose hardware communicates with quantum processors.

"We see more and more demand to integrate these quantum computers with standard computers," said Itamar Sivan, co-founder and CEO of Quantum Machines.

While quantum computers could potentially speed up some calculations millions of times faster than the fastest supercomputer, it is still uncertain when that would happen. And even when they become good enough to be useful, they would have to be paired with powerful digital computers to operate, said Sivan.

"All quantum today is research, not production, and that isn't going to change next week," said Costa. With DGX Quantum, researchers will be able to develop hybrid applications and critical methods for quantum computing's future, he added.

(Reporting by Jane Lanhee Lee; Editing by Richard Chang)

By Jane Lanhee Lee

© Reuters 2023
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What are important areas in quantum research?

What are important areas in quantum research?

Quantum computing is rapidly advancing with significant global investments.

Title:

Content: Monday, 25 March 2024 02: 58 GMT
UAE invests in ‘ quantum computing ’ to look to the future
(MENAFN- Al-Bayan)
The UAE is investing in the sector of quantum computing, which is expected to reach a global market value of $1 trillion in 2035, as one of the fastest expanding fields of technology in the world and because of its innovative applications capable of solving challenges in many sectors, because of its strength and speed in calculating physical phenomena, compared to traditional computers.
The UAE aims to invest in quantum computing to enable innovation and a knowledge and sustainable economy through the Quantum Research Center and UAE institutes and universities to explore the future of this vital sector. The Institute of Technology Innovation ’ s (TII) Quantitative Research Center is working to build the first quantum computer in the UAE, according to the Interregional Center for Strategic Analytics in Abu Dhabi.
The UAE has quickly realized the benefits of the quantum computing sector in all sectors and fields, especially in the economy and scientific research, as part of the country ’ s long-term strategies to keep pace with the global technological development represented by the fourth industrial revolution and artificial intelligence, which will change the face of the world in the coming years.
IDC expects global investments in quantum computing to reach $16.4 billion by the end of 2027, with a compound annual growth rate of 11.5%, which includes investments by the public and private sectors and R & D spending from technology, services and finance companies.
There is growing interest in quantum computing by global government agencies, with 14 of them (13 countries plus the European Union) announcing multi-year initiatives that will generate billions of dollars for quantum computing research.
The center said that the UAE is among the 50 projects working to create an attractive investment environment for investments in new and future sectors, including quantum computing technology.
According to Accenture Middle East, quantum computing technology is advancing rapidly, making it a promising technology sector.
The US and China dominate the quantum computing sector to take advantage of the features of the new technological revolution that has enabled scientists to study the basic particles of matter, whose applications have multiplied across different fields despite their relative novelty, promising radical transformations for any industry dependent on speed and processing power, including aerospace, automotive, medicine and others.
Quantum computing technologies have a huge market value, with quantum computing alone expected to reach a global market value of $1 trillion by 2035.
Quantum technology has played a role in many areas, including complex mathematical models, simulations, electronic devices, CT scanners and many others, as it has the potential to revolutionize the way humans communicate and process information at record speeds.
The most prominent areas of use of quantum computing can be found in many fields of military, communications and medicine, and can address economic crises and challenges quickly, and there is no doubt that quantum computing technology can change the map of national industries.
Major technology companies are leading efforts to develop quantum computing, with Google Research Lab and IBM, which built one of the largest quantum computers in the field, and the Chinese University of Science and Technology has developed a quantum computer that is 10 billion times faster than the computer developed by Google.
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How large are global investments in quantum computing?

How much have countries and blocs invested in quantum computing?

U.S. invested $3.7 B
China invested $15.3B
Europe invested $8.4 B

How large are global investments in quantum computing?

How much have countries and blocs invested in quantum computing?

U.S. invested $3.7 B
China invested $15.3B
Europe invested $8.4 B

Investments in quantum computing startups reached $2.35 billion in 2022, led by China's $15.3 billion in government funding.

Title:

Content: Investments in quantum computing startups reached $2.35 billion in 2022
Quantum technologies have great potential for both science and business, and attract large investments in different countries of the world, including Russia.
This is stated in the analytical report "Quantum Computing: Prospects for Business", which was prepared jointly with the Federal State Unitary Enterprise "VNIIA named after N.L. Dukhov" and the Institute of Artificial Intelligence AIRI.
“Increasing attention in the world is paid to supporting start-ups in the field of quantum technologies.
In 2022, venture investors around the world invested $2.35 billion in them.
Also last year, almost 1,600 patents were issued and published in all subfields of quantum computing: from physical implementations of quantum equipment and error correction to AI [artificial intelligence] and machine learning.
Video of the day
Leading countries, realizing the breakthrough potential of this direction, include quantum technologies in national programs and allocate increasing budgets for research.
The leader is China with $15.3 billion in government funding.
Development programs have the leading technological corporations of the world.
So, which has made a quantum processor for 433 qubits [qubit or quantum bit - the main unit of information in quantum processors and quantum computing], plans this year to increase the number of qubits to 1121, and intends to show a device for a thousand qubits after 2025.
The intention to develop a full stack of technologies for quantum computing announced and has already released to the market quantum chips on spin qubits.
In Russia, work on quantum computing is underway on four key physical platforms: superconducting qubits, photonic circuits, neutral atoms, and trapped ions.
The Russian Federation has also formed a pool of organizations, including companies, scientific institutions and universities that conduct research and development, study the applicability of quantum computing to practical tasks.
“Quantum computing can give the world an impetus to the development of new industries based on the processing of big data.
In addition, they can improve the performance and efficiency of artificial intelligence algorithms, the accuracy of models and simulations of complex systems (such as molecules of new drugs, chemical reactions or physical processes), as well as provide a new level of calculations in finance and logistics, new solutions to climate problems and cryptographic algorithms that will provide a higher level of security.
The authors of the report come to the conclusion that although no one in the world has been able to demonstrate practical quantum superiority, nevertheless, companies should plan today what will happen after its achievement.
Quantum computing is able to integrate seamlessly into data processing workflows, using adaptation tools for popular programming languages and interfaces.

How much have countries and blocs invested in quantum computing?

What countries and blocs are leading in developing quantum computing?

The Wuyan system, a 24-qubit superconducting quantum computer, is comparable to other market systems.

The quantum computing market, dominated by IBM, Google, Microsoft, and Honeywell, is expected to reach USD 234.06 billion by 2032.

What countries and blocs are leading in developing quantum computing?

North America, driven by the US, leads the quantum computing market, expected to grow at a 36.89% CAGR from 2022 to 2032.

What countries and blocs are leading in developing quantum computing?

Google achieved quantum supremacy in 2019, and IBM launched a quantum program for students in 2020.

What countries and blocs are leading in developing quantum computing?

What have been the landmark achievements in quantum computing?

Google's Sycamore quantum supremacy experiment

In 2021, Honeywell developed a quantum computer with a quantum volume of 512 and Amazon Web Services launched Amazon Bracket.

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

Canada leads in quantum computing innovation, with government investments including $40 million in Xanadu Quantum Technologies and $360 million in the National Quantum Strategy.

Title:

Content: There were 1,711 press releases posted in the last 24 hours and 342,181 in the last 365 days.

Supporting Canada's leadership in quantum computing to grow the economy and create jobs

TORONTO, Jan. 23, 2023 /CNW/ - Quantum technologies are at the leading edge of science and innovation. As Canadian researchers, workers and businesses continue to demonstrate leadership on the world stage in innovating and developing quantum technologies, we have the potential to transform how we work and live in Canada and around the world – in areas from fighting climate change to making advancements in health care. The Government of Canada will continue to support Canadian companies to help them keep growing and staying competitive, while driving economic growth and creating highly skilled and well-paying jobs for Canadians.

The Prime Minister, Justin Trudeau, today announced a new federal investment of $40 million to enable the Toronto-based Canadian quantum computing company Xanadu Quantum Technologies Inc. to build and commercialize the world's first photonic-based, fault-tolerant quantum computer. Once developed, this computer will have the potential to provide world leading capabilities to help solve complex data problems and could be used in a variety of sectors such as finance, transportation, environmental modelling, and health.

Supported through the government's Strategic Innovation Fund, this $177.8 million project is expected to create 530 new highly skilled positions in the high-tech and quantum computing fields.

Home to some of the world's largest quantum tech hubs, Canada is well positioned to become a global leader in the developing quantum sector, which will create new opportunities for Canadians and Canadian businesses. The Government of Canada will continue to invest in innovative companies to grow the economy and create highly skilled and well-paying jobs for Canadians.

Quotes

"Quantum technology is changing the world as we know it. With the potential to solve difficult problems in key areas such as health care, finance, and climate sciences, this sector expands the realm of possibility. Today's announcement is great news for Canadian workers and businesses. This investment will bring good jobs, spur economic growth, boost innovation, and solidify Canada as a world leader in quantum technology."

— The Rt. Hon. Justin Trudeau, Prime Minister of Canada

"Quantum technologies will set the course of the future and thanks to companies like Xanadu, Canada is at the forefront ready to lead. With today's announcement, our government is strengthening Canada's position in quantum technology and helping to create more economic growth and good jobs for Canadians. We'll continue to build this sector through our National Quantum Strategy and support made-in-Canada technology so Canada remains a world leader for decades to come."

— The Hon. François-Philippe Champagne, Minister of Innovation, Science and Industry

"The government's continued investment in quantum technologies has been invaluable to our success. We are proud to be a Canadian company and, with this investment, are excited to enter the next phase in our mission to build quantum computers that are useful and available to people everywhere."

— Christian Weedbrook, Founder and CEO, Xanadu

Quick Facts

  • Since the birth of quantum science more than 100 years ago, quantum technologies have been the source of many game-changing innovations such as semiconductors and the laser.
  • Quantum science is the study, manipulation, and control of systems at the atomic and subatomic level.
  • It is estimated that by 2045, the Canadian quantum industry will be a $139 billion industry, including all economic effects, and account for over 200,000 jobs, according to a study commissioned by the National Research Council in 2020.
  • Earlier this month, the Government of Canada launched its National Quantum Strategy, which invests an additional $360 million to help solidify Canada as a global leader in quantum technologies.
  • Over the past 10 years, the Government of Canada has invested more than $1 billion in quantum research and science.
  • Additionally, the government has invested in bringing new quantum technologies to the Canadian and global markets, including investments through Canada's regional development agencies, the Strategic Innovation Fund, and the National Research Council of Canada's Industrial Research Assistance Program.
  • Xanadu is a notable contributor to Canada's innovation ecosystem and has committed to continuing to support innovation, growth, and Canada's research and development sector.
  • Founded in 2016, Xanadu is a Toronto-based Canadian quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu has become one of the world's leading quantum hardware and software companies and leads the development of PennyLane, an open-source software library for quantum computing and application development.

Associated Links

This document is also available at https://pm.gc.ca

SOURCE Prime Minister's Office

View original content: http://www.newswire.ca/en/releases/archive/January2023/23/c3179.html

What countries and blocs are leading in developing quantum computing?

China has over 100 quantum computing companies and leads in quantum computing research.

Title:

Content: People 's Daily Online > > Economy and Technology
The world 's third! China has the complete delivery capacity of quantum computer
January 30, 2023 08: 48 | Source: Science and Technology Daily
Small number
Science and Technology Daily News (Reporter Wu Changfeng) In the recently released sci-fi movie "Wandering Earth 2", there is a MOSS, the highest computing power intelligent quantum computer known as "the most valuable prop in the field", which can meet tens of thousands of engines working together, and support the computing power required for the "digital life" program.
In fact, quantum computers are not science fiction. On January 28, the reporter learned from the Anhui Province Quantum Computing Engineering Research Center that Hefei Origin Quantum has developed a number of Chinese quantum computers and successfully delivered a quantum computer to users.
The successful delivery of the quantum computer makes China the third country in the world with the ability to deliver the complete quantum computer.
This is China's "quantum superiority" after the realization of the "quantum superiority", once again established the leading position in the international quantum computing research field.
"More than 100 quantum computing companies in the world have invested huge human and material resources in the development of quantum computing, Canada 's quantum computing company sold its first quantum computer in 2011, IBM in the United States in 2019 to deliver its commercial quantum computer, Chinese company origin quantum computer in 2021 has been delivered to users." The addition will accelerate the development of a practical universal quantum computer.
It is understood that Benyuan Quantum is the first quantum computing company in China, which has launched the first domestic superconducting quantum computer Benyuan in 2020, and provides quantum computing services to global users through the cloud platform; in 2022, it released the first domestic quantum computer and supercomputer collaborative computing system solution, which can play the advantages of quantum computers and supercomputers in both directions.
(Editor: Wang Zhen, Chen Jian)
Public Number ： People 's Network Finance
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What countries and blocs are leading in developing quantum computing?

IQM Quantum Computers leads European quantum computing development, supplying units for Spain's first quantum computer and building Finland's first 54-qubit commercial quantum computer.

Title:

Content: IQM Quantum Computers to supply quantum processing units for Spain ’ s first quantum computer
• IQM is a member of the consortium led by Qilimanjaro Quantum Tech and GMV
IQM to deliver first quantum processing unit in Q2 2023
Quantum computer to be installed at Barcelona Supercomputing Center (BSC) and integrated into MareNostrum 5 supercomputer
IQM Quantum Computer opened (Photo: Business Wire)
BARCELONA, Spain -- (BUSINESS WIRE) -- IQM Quantum Computers (IQM), a leader in quantum computers in Europe, announced today that it has been selected to supply quantum processing units for the first Spanish quantum computer.
The computer will be installed at the Barcelona Supercomputing Center (BSC) and integrated into Spain ’ s extremely powerful MareNostrum 5 supercomputer.
IQM is a member of a consortium led by Spanish companies Qilimanjaro Quantum Tech and GMV, selected by Quantum Spain. Quantum Spain is an initiative promoted by the Ministry of Economic Affairs and Digital Transformation through the Secretary of State for Digitalization and Artificial Intelligence (SEDIA) in December 2022 to build the first quantum computer for public use in Southern Europe.
Dr. Jan Goetz, co-founder and CEO of IQM Quantum Computers, said: “This is a major announcement from IQM.
We have the right background and experience in developing quantum processors, computers, and national quantum ecosystems.
We look forward to working with Qilimanjaro Quantum Tech and are excited to be part of such a strong consortium and play an important role by providing quantum processing units for this prestigious project. ”
The integration of quantum computers into MareNostrum 5 enables solutions that complement the capabilities of existing supercomputers for use by research institutions, companies and public organizations, as well as the development of technology and industry in Spain and the creation of high-quality jobs, thereby significantly increasing the impact of research and innovation.
Victor Canivell, co-founder and CEO of Qilimanjaro, said: “We are delighted to be able to leverage the expertise of an excellent company like IQM to support the development of this innovative system, which will be based entirely on Spanish and European technologies.
We believe this will be a productive collaboration and we look forward to working with IQM to roll out the system. ”
Jani Heikkinen, Head of Business Development and Regional Manager, Spain, said: “This is yet another example of our European leadership and it demonstrates our commitment to working with public and private institutions to advance the Spanish quantum ecosystem.
We can also provide the necessary support for the project through our office in Madrid, "he said.
About IQM Quantum Computers
IQM is a pan-European leader in building quantum computers.
IQM provides internal quantum computers for supercomputing centers and research labs and provides full access to their hardware.
For industrial customers, IQM leverages its quantum advantage through a unique, application-specific joint design approach.
IQM is currently working with VTT to build Finland ’ s first commercial 54-qubit quantum computer.
In addition, a consortium led by IQM (Q-Exa) is building quantum computers in Germany that will be integrated into HPC supercomputers to create quantum accelerators for future scientific research.
IQM has offices in Singapore, Paris, Madrid, Munich and Espoo and employs more than 240 people.
For industrial IQMs, quantum advantages are provided through a unique, application-specific, co-design approach.
About Qilimanjaro
Qilimanjaro Quantum Tech is a high-tech startup that uses analog models, a different but complementary model of quantum computing, to bring practical applications of quantum computing to market in less time than digital quantum computers.
Qilimanjaro has created a coherent quantum retreater that runs real-world applications through our cloud, such as optimization tasks in areas such as logistics, finance and energy sectors, as well as quantum simulations of chemical and physical processes that are prevalent in the materials and pharmaceutical research industries.
Qilimanjaro aims to provide customers with faster, more accurate and sustainable solutions to computing problems.
Since its first year of operation, the company has signed a number of customer contracts and is a major contributor to the European Commission ’ s AVaQus H2020 coherent quantum annealing project.
Qilimanjaro is a spin-off of the Barcelona Supercomputer Centre (BSC), the University of Barcelona (UB) and the Spanish Institute of High Energy Physics (IFAE).
About GMV
GMV is a privately held technology conglomerate founded in 1984 that trades globally in the following industries: aerospace, aviation, defense and security, cybersecurity, intelligent transportation systems, automotive, healthcare, telecommunications and IT, serving government agencies and large corporations.
With more than 3,000 employees, the company currently has subsidiaries in Spain, the United States, Germany, France, Poland, Portugal, Romania, the United Kingdom, the Netherlands, Belgium, Malaysia and Colombia, with 2021 revenue approaching 260 million euros.
75% of its turnover comes from international projects on five continents.
The company adopts a growth strategy based on continuous innovation and invests 5% of its turnover in internal research and development. GMV has been certified by CMMI Level 5, the world ’ s most authoritative model for organizational process capability enhancement, and holds several international patents.
Disclaimer: The original version of this announcement is the official authorized version. The translation is for convenience only. Please refer to the original version, the original version is the only version with legal effect.
Contacts
IQM Media Contacts
Raghunath Koduvayur, Head of Marketing and Communications
Email: Raghunath @ meetiqm.com
Mobile: + 65 9353 0048
www.metiqm.com
Media Contacts
Alícia Labián Pagès, Corporate Operations Manager
Email: alicia.labian @ qilimanjaro.tech
Mobile: + 34 676 683 876
www.qilimanjaro.tech
For more information please contact:
marketing @ gmv.com
www.gmv.com
Contacts
IQM Media Contacts
Raghunath Koduvayur, Head of Marketing and Communications
Email: Raghunath @ meetiqm.com
Mobile: + 65 9353 0048
www.metiqm.com
Media Contacts
Alícia Labián Pagès, Corporate Operations Manager
Email: alicia.labian @ qilimanjaro.tech
Mobile: + 34 676 683 876
www.qilimanjaro.tech
For more information please contact:
marketing @ gmv.com
www.gmv.com

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

Germany is developing quantum computing technology, earmarking €2 billion for the effort in 2021.

Title:

Content: Artificial intelligence - a global race on quantum computing | Science and technology | Latest discoveries and studies from DW Arabia | DW | 04.09.2021
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Science and Technology
Artificial Intelligence: A Global Race for Quantum Computing
Germany is in the midst of a frantic global race for artificial intelligence technologies through quantum computers.
The Quantum Valley Lower Saxony project will make this state a leading center for the development of quantum computing in Germany, attracting 400 researchers.
The possession of quantum computer technology has become one of the most important bets of the future for which the world powers are engaged in a feverish race to harness all the scientific and financial possibilities.
The technology is far more powerful than today ’ s best computers, employing the incredible physical properties of tiny particles.
Instead of the data storage unit (BIT) on which traditional computing operates with values of 0 and 1, the quantum scientist uses a unit (Qbits) that allows multiple values at the same time, theoretically enabling parallel calculations beyond anything known to man to date.
However, this technology is still at an experimental stage and in the future it is expected to solve complex computational problems that current computers cannot do, applying to multiple fields, including computation of tracks and more complex decoding, as well as countless application areas, such as drug development, to name a few.
In May 2021, German Chancellor Angela Merkel, who has completed a PhD in quantum chemistry, launched the first quantum computer built in Germany by the American company IBM, at a time when the world is in a race against time to take the lead in this promising technology.
The Q System One, built near Stuttgart in cooperation with the German research institute Fraunhofer, has been in service since the beginning of April, and is the first device of its kind for the American company outside the United States.
Lower Saxony is also seeking to be a leading platform for the development of this technology in Germany as part of the Quantum Valley Lower Saxony project, which attracts at least 400 researchers.
Watch the video 26: 00
Made in Germany - Innovation is the engine of success
Germany - Artificial Intelligence for Quantum Computing
The major world powers have entered a frantic race over the technologies of the future that will change the way of life of humanity in the world of tomorrow.
The German government has earmarked at least €2 billion this year for the development of quantum computers, which experts say are the main entry point for artificial intelligence technologies.
Germany aims to keep pace with global competition by developing a quantum computer over the next five years.
German Minister of Scientific Research Anja Karlyschek (May 2021) said: “Quantum technologies are one of the key technologies that will be crucial in the future.
"It will allow us to make our communications completely secure, make leaps in medical technology via highly sensitive sensors, or address previously unsolvable problems in logistics or materials research via quantum computing."
Lower Saxony aims to build Germany ’ s first quantum computer and put it into operation by the end of 2025.
Using a technique called the "ion trap", ions are charged atoms, as the basic unit of computation of a computer - the ion is a qubit.
With the help of electric fields, these ions are captured and controlled by radio waves and laser beams.
Lower Saxony - Leadership in Quantum Technology
The state of Lower Saxony (eastern Germany) is seeking to take the lead in the development of quantum computer technology in Germany, in cooperation with a number of universities and research institutions, attracting the expertise of at least 400 researchers under the project "Quantum Valley Lower Saxony".
The project is expected to receive funding of 1.5 billion euros over 10 years.
watch video 01: 33
Rare bipartisan deal in U.S. Congress on tech support
Between science fiction and hard science facts, quantum technology is one of the most important breakthroughs in modern technology.
The industry is increasingly relying on highly complex computing processes in the shortest possible time frame.
However, all current quantum computers are basically just experimental or prototype devices.
The number of qubits does not have to be the only measure, but the quality of the calculations is more important.
In the future, a complete system with special algorithms and software will have to be developed so that researchers can develop technology with enormous potential.
Computers are all at the same time.
The first (mechanical) computer appeared in 1941 before a number of inventions were developed that changed the face of computing and made computers the devices we know today in terms of efficiency, smallness and lightness compared to the first models.
Despite the tremendous development of computing technologies, they still face numerous dilemmas, including, but not limited to, the constant fear of hacking and intrusion of data confidentiality.
Quantum computers go beyond the binary logic of qubits being in the states of 0 and 1 at the same time, but also in the states in between.
This means that far fewer kibbutz are needed to perform calculations, which traditional computing devices cannot.
Another advantage of quantum technology is that these processes take place at close to the speed of light.
However, the generation of quantum "bits" still poses a number of dilemmas, using superconducting elements, such as ions, "trapped" atoms, photons and other similar processes.
The ions are stimulated by microwave radiation, which can be placed in multiple states, which can then be loaded with different information.
The particles are moving.
To be able to function, it must be "frozen", with extreme cooling close to absolute zero (-273.15 ° C) using complex techniques such as magnetic fields.
In addition, qubits are unstable and react to the slightest external stimulation, such as vibrations, magnetic and electrical fields, and other factors.
watch video 02: 01
European Commission seeks to limit market power of tech giants
From a quantum computer to a neural computer.
Traditional computer chips are almost beginning to exhaust their maximum capabilities because semiconductor performance is starting to reach its physical limits.
Because chips cannot be downsized indefinitely in order to increase their performance in as little space as possible, quantum computers and neural computers are being developed as technological alternatives in the future.
As explained above, a classical computer operates with 0 and 1 binary mode geometry (i.e., current flow or no current flow).
This is specified in the bit unit.
The physical structure in a computer consists of electronic components, such as capacitors or transistors in microchips.
The primary and fundamental property of a "bit" unit is that its value is precisely defined and does not change when measured, on the other hand, the value of a "bit" does not change immediately once the value of another "bit" changes, and in a classical computer only after a certain period of time in the range of milliseconds per second.
Coinciding with the interest in quantum computers, a new technological approach has emerged and concerns computers that do not rely on artificial intelligence but mimic the human brain and are called neural computing.
It has the privilege of extremely low energy consumption, computing speed and high capacity to store information in an analogy to the functioning of the human brain.
Artificial Intelligence: The Tool of Domination in Tomorrow ’ s World
An ambitious US project has invested $170 billion for scientific research and development in the field of precision technology, such as artificial intelligence and semiconductors.
China is engaged in an economic and technological war with Western powers and the United States in particular that exploded in the form of trade battles under former President Donald Trump, and is one of the rare issues adopted by Democratic President Joe Biden after his Republican predecessor.
It enjoys broad consensus in Congress for its strategic dimension.
It has become clear that whoever wins the race for future technologies such as artificial intelligence will be the world ’ s first economy.
The U.S. project provides for $52 billion over five years to encourage companies to manufacture chips and semiconductors in the United States.
Washington believes the Chinese rival is investing at least $150 billion to develop the technologies of the future.
Hassan Zinind

What countries and blocs are leading in developing quantum computing?

Germany plans to develop its first quantum computer by 2025.

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

The Quantum Valley Lower Saxony project will receive 1.5 billion euros in funding and attract at least 400 researchers over 10 years.

What countries and blocs are leading in developing quantum computing?

The US and China are investing $170 billion and at least $150 billion, respectively, in scientific research and future technologies.

Quantum computers can solve complex problems in fields such as drug development, finance, logistics, and energy.

What advantages do quantum computers have over conventional computers?

extremely complex calculations
extremely fast calculations

What fields can quantum computers advance?

Russia is developing four key quantum computing platforms and a research organization pool.

Title:

Content: Investments in quantum computing startups reached $2.35 billion in 2022
Quantum technologies have great potential for both science and business, and attract large investments in different countries of the world, including Russia.
This is stated in the analytical report "Quantum Computing: Prospects for Business", which was prepared jointly with the Federal State Unitary Enterprise "VNIIA named after N.L. Dukhov" and the Institute of Artificial Intelligence AIRI.
“Increasing attention in the world is paid to supporting start-ups in the field of quantum technologies.
In 2022, venture investors around the world invested $2.35 billion in them.
Also last year, almost 1,600 patents were issued and published in all subfields of quantum computing: from physical implementations of quantum equipment and error correction to AI [artificial intelligence] and machine learning.
Video of the day
Leading countries, realizing the breakthrough potential of this direction, include quantum technologies in national programs and allocate increasing budgets for research.
The leader is China with $15.3 billion in government funding.
Development programs have the leading technological corporations of the world.
So, which has made a quantum processor for 433 qubits [qubit or quantum bit - the main unit of information in quantum processors and quantum computing], plans this year to increase the number of qubits to 1121, and intends to show a device for a thousand qubits after 2025.
The intention to develop a full stack of technologies for quantum computing announced and has already released to the market quantum chips on spin qubits.
In Russia, work on quantum computing is underway on four key physical platforms: superconducting qubits, photonic circuits, neutral atoms, and trapped ions.
The Russian Federation has also formed a pool of organizations, including companies, scientific institutions and universities that conduct research and development, study the applicability of quantum computing to practical tasks.
“Quantum computing can give the world an impetus to the development of new industries based on the processing of big data.
In addition, they can improve the performance and efficiency of artificial intelligence algorithms, the accuracy of models and simulations of complex systems (such as molecules of new drugs, chemical reactions or physical processes), as well as provide a new level of calculations in finance and logistics, new solutions to climate problems and cryptographic algorithms that will provide a higher level of security.
The authors of the report come to the conclusion that although no one in the world has been able to demonstrate practical quantum superiority, nevertheless, companies should plan today what will happen after its achievement.
Quantum computing is able to integrate seamlessly into data processing workflows, using adaptation tools for popular programming languages and interfaces.

Quantum computing can improve AI, finance, and solve climate and cryptography problems.

Title:

Content: Investments in quantum computing startups reached $2.35 billion in 2022
Quantum technologies have great potential for both science and business, and attract large investments in different countries of the world, including Russia.
This is stated in the analytical report "Quantum Computing: Prospects for Business", which was prepared jointly with the Federal State Unitary Enterprise "VNIIA named after N.L. Dukhov" and the Institute of Artificial Intelligence AIRI.
“Increasing attention in the world is paid to supporting start-ups in the field of quantum technologies.
In 2022, venture investors around the world invested $2.35 billion in them.
Also last year, almost 1,600 patents were issued and published in all subfields of quantum computing: from physical implementations of quantum equipment and error correction to AI [artificial intelligence] and machine learning.
Video of the day
Leading countries, realizing the breakthrough potential of this direction, include quantum technologies in national programs and allocate increasing budgets for research.
The leader is China with $15.3 billion in government funding.
Development programs have the leading technological corporations of the world.
So, which has made a quantum processor for 433 qubits [qubit or quantum bit - the main unit of information in quantum processors and quantum computing], plans this year to increase the number of qubits to 1121, and intends to show a device for a thousand qubits after 2025.
The intention to develop a full stack of technologies for quantum computing announced and has already released to the market quantum chips on spin qubits.
In Russia, work on quantum computing is underway on four key physical platforms: superconducting qubits, photonic circuits, neutral atoms, and trapped ions.
The Russian Federation has also formed a pool of organizations, including companies, scientific institutions and universities that conduct research and development, study the applicability of quantum computing to practical tasks.
“Quantum computing can give the world an impetus to the development of new industries based on the processing of big data.
In addition, they can improve the performance and efficiency of artificial intelligence algorithms, the accuracy of models and simulations of complex systems (such as molecules of new drugs, chemical reactions or physical processes), as well as provide a new level of calculations in finance and logistics, new solutions to climate problems and cryptographic algorithms that will provide a higher level of security.
The authors of the report come to the conclusion that although no one in the world has been able to demonstrate practical quantum superiority, nevertheless, companies should plan today what will happen after its achievement.
Quantum computing is able to integrate seamlessly into data processing workflows, using adaptation tools for popular programming languages and interfaces.

What advantages do quantum computers have over conventional computers?

What fields can quantum computers advance?

The UAE is investing in quantum computing to build its first quantum computer through the Quantum Research Center.

Title:

Content: Monday, 25 March 2024 02: 58 GMT
UAE invests in ‘ quantum computing ’ to look to the future
(MENAFN- Al-Bayan)
The UAE is investing in the sector of quantum computing, which is expected to reach a global market value of $1 trillion in 2035, as one of the fastest expanding fields of technology in the world and because of its innovative applications capable of solving challenges in many sectors, because of its strength and speed in calculating physical phenomena, compared to traditional computers.
The UAE aims to invest in quantum computing to enable innovation and a knowledge and sustainable economy through the Quantum Research Center and UAE institutes and universities to explore the future of this vital sector. The Institute of Technology Innovation ’ s (TII) Quantitative Research Center is working to build the first quantum computer in the UAE, according to the Interregional Center for Strategic Analytics in Abu Dhabi.
The UAE has quickly realized the benefits of the quantum computing sector in all sectors and fields, especially in the economy and scientific research, as part of the country ’ s long-term strategies to keep pace with the global technological development represented by the fourth industrial revolution and artificial intelligence, which will change the face of the world in the coming years.
IDC expects global investments in quantum computing to reach $16.4 billion by the end of 2027, with a compound annual growth rate of 11.5%, which includes investments by the public and private sectors and R & D spending from technology, services and finance companies.
There is growing interest in quantum computing by global government agencies, with 14 of them (13 countries plus the European Union) announcing multi-year initiatives that will generate billions of dollars for quantum computing research.
The center said that the UAE is among the 50 projects working to create an attractive investment environment for investments in new and future sectors, including quantum computing technology.
According to Accenture Middle East, quantum computing technology is advancing rapidly, making it a promising technology sector.
The US and China dominate the quantum computing sector to take advantage of the features of the new technological revolution that has enabled scientists to study the basic particles of matter, whose applications have multiplied across different fields despite their relative novelty, promising radical transformations for any industry dependent on speed and processing power, including aerospace, automotive, medicine and others.
Quantum computing technologies have a huge market value, with quantum computing alone expected to reach a global market value of $1 trillion by 2035.
Quantum technology has played a role in many areas, including complex mathematical models, simulations, electronic devices, CT scanners and many others, as it has the potential to revolutionize the way humans communicate and process information at record speeds.
The most prominent areas of use of quantum computing can be found in many fields of military, communications and medicine, and can address economic crises and challenges quickly, and there is no doubt that quantum computing technology can change the map of national industries.
Major technology companies are leading efforts to develop quantum computing, with Google Research Lab and IBM, which built one of the largest quantum computers in the field, and the Chinese University of Science and Technology has developed a quantum computer that is 10 billion times faster than the computer developed by Google.
Follow the economic statement via Google News
MENAFN24032024000110011019ID1108015991
Legal Disclaimer:
MENA Financial Services Network provides information "as is" without any representations or warranties...
This disclaims our responsibility for the privacy practices or content of the sites included in our network, including images and videos.
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What are important areas in quantum research?

The global quantum computing market is expected to reach $1 trillion by 2035 and $16.4 billion in investments by 2027.

Title:

Content: Monday, 25 March 2024 02: 58 GMT
UAE invests in ‘ quantum computing ’ to look to the future
(MENAFN- Al-Bayan)
The UAE is investing in the sector of quantum computing, which is expected to reach a global market value of $1 trillion in 2035, as one of the fastest expanding fields of technology in the world and because of its innovative applications capable of solving challenges in many sectors, because of its strength and speed in calculating physical phenomena, compared to traditional computers.
The UAE aims to invest in quantum computing to enable innovation and a knowledge and sustainable economy through the Quantum Research Center and UAE institutes and universities to explore the future of this vital sector. The Institute of Technology Innovation ’ s (TII) Quantitative Research Center is working to build the first quantum computer in the UAE, according to the Interregional Center for Strategic Analytics in Abu Dhabi.
The UAE has quickly realized the benefits of the quantum computing sector in all sectors and fields, especially in the economy and scientific research, as part of the country ’ s long-term strategies to keep pace with the global technological development represented by the fourth industrial revolution and artificial intelligence, which will change the face of the world in the coming years.
IDC expects global investments in quantum computing to reach $16.4 billion by the end of 2027, with a compound annual growth rate of 11.5%, which includes investments by the public and private sectors and R & D spending from technology, services and finance companies.
There is growing interest in quantum computing by global government agencies, with 14 of them (13 countries plus the European Union) announcing multi-year initiatives that will generate billions of dollars for quantum computing research.
The center said that the UAE is among the 50 projects working to create an attractive investment environment for investments in new and future sectors, including quantum computing technology.
According to Accenture Middle East, quantum computing technology is advancing rapidly, making it a promising technology sector.
The US and China dominate the quantum computing sector to take advantage of the features of the new technological revolution that has enabled scientists to study the basic particles of matter, whose applications have multiplied across different fields despite their relative novelty, promising radical transformations for any industry dependent on speed and processing power, including aerospace, automotive, medicine and others.
Quantum computing technologies have a huge market value, with quantum computing alone expected to reach a global market value of $1 trillion by 2035.
Quantum technology has played a role in many areas, including complex mathematical models, simulations, electronic devices, CT scanners and many others, as it has the potential to revolutionize the way humans communicate and process information at record speeds.
The most prominent areas of use of quantum computing can be found in many fields of military, communications and medicine, and can address economic crises and challenges quickly, and there is no doubt that quantum computing technology can change the map of national industries.
Major technology companies are leading efforts to develop quantum computing, with Google Research Lab and IBM, which built one of the largest quantum computers in the field, and the Chinese University of Science and Technology has developed a quantum computer that is 10 billion times faster than the computer developed by Google.
Follow the economic statement via Google News
MENAFN24032024000110011019ID1108015991
Legal Disclaimer:
MENA Financial Services Network provides information "as is" without any representations or warranties...
This disclaims our responsibility for the privacy practices or content of the sites included in our network, including images and videos.
For any queries regarding the use and reuse of this source of information, please contact the provider of the above article.

Fourteen global government agencies have launched quantum computing initiatives, led by the US and China.

Title:

Content: Monday, 25 March 2024 02: 58 GMT
UAE invests in ‘ quantum computing ’ to look to the future
(MENAFN- Al-Bayan)
The UAE is investing in the sector of quantum computing, which is expected to reach a global market value of $1 trillion in 2035, as one of the fastest expanding fields of technology in the world and because of its innovative applications capable of solving challenges in many sectors, because of its strength and speed in calculating physical phenomena, compared to traditional computers.
The UAE aims to invest in quantum computing to enable innovation and a knowledge and sustainable economy through the Quantum Research Center and UAE institutes and universities to explore the future of this vital sector. The Institute of Technology Innovation ’ s (TII) Quantitative Research Center is working to build the first quantum computer in the UAE, according to the Interregional Center for Strategic Analytics in Abu Dhabi.
The UAE has quickly realized the benefits of the quantum computing sector in all sectors and fields, especially in the economy and scientific research, as part of the country ’ s long-term strategies to keep pace with the global technological development represented by the fourth industrial revolution and artificial intelligence, which will change the face of the world in the coming years.
IDC expects global investments in quantum computing to reach $16.4 billion by the end of 2027, with a compound annual growth rate of 11.5%, which includes investments by the public and private sectors and R & D spending from technology, services and finance companies.
There is growing interest in quantum computing by global government agencies, with 14 of them (13 countries plus the European Union) announcing multi-year initiatives that will generate billions of dollars for quantum computing research.
The center said that the UAE is among the 50 projects working to create an attractive investment environment for investments in new and future sectors, including quantum computing technology.
According to Accenture Middle East, quantum computing technology is advancing rapidly, making it a promising technology sector.
The US and China dominate the quantum computing sector to take advantage of the features of the new technological revolution that has enabled scientists to study the basic particles of matter, whose applications have multiplied across different fields despite their relative novelty, promising radical transformations for any industry dependent on speed and processing power, including aerospace, automotive, medicine and others.
Quantum computing technologies have a huge market value, with quantum computing alone expected to reach a global market value of $1 trillion by 2035.
Quantum technology has played a role in many areas, including complex mathematical models, simulations, electronic devices, CT scanners and many others, as it has the potential to revolutionize the way humans communicate and process information at record speeds.
The most prominent areas of use of quantum computing can be found in many fields of military, communications and medicine, and can address economic crises and challenges quickly, and there is no doubt that quantum computing technology can change the map of national industries.
Major technology companies are leading efforts to develop quantum computing, with Google Research Lab and IBM, which built one of the largest quantum computers in the field, and the Chinese University of Science and Technology has developed a quantum computer that is 10 billion times faster than the computer developed by Google.
Follow the economic statement via Google News
MENAFN24032024000110011019ID1108015991
Legal Disclaimer:
MENA Financial Services Network provides information "as is" without any representations or warranties...
This disclaims our responsibility for the privacy practices or content of the sites included in our network, including images and videos.
For any queries regarding the use and reuse of this source of information, please contact the provider of the above article.

China invests $15.3 billion in quantum technology, surpassing Europe's $8.4 billion and the US's $3.7 billion.

Title:

Content: Quantum technology, known as the powerful engine of next-generation technology, has become increasingly competitive in recent years. According to an article published by Korean media on quantum information technology, quantum technology is not only fiercely competitive, but the scale of investment is also rapidly increasing.
However, according to statistics, in addition to sweeping half of the world's quantum technology patents, China ranks first in the world in the scale of investment in quantum information technology.
According to a South Korean media report, China's basic science and system research and development force of quantum information technology is rapidly growing and has become a competitor on par with the United States and Europe.
And to achieve this kind of technological leap, can not be separated from huge investment.
The data shows that China ranks first in the world in terms of investment in quantum information technology and has built the world ’ s largest quantum laboratory.
As of 2022, China ’ s investment in quantum information technology has reached $15.3 billion, far exceeding Europe ’ s $8.4 billion and the United States ’ $3.7 billion.
South Korean media cited China's often used "curve overtaking" strategy, and pointed out that the rapid development of electric vehicles in recent years as an example, in the 1980s, mainland enterprises officially entered the commercial vehicle industry, and imitated Germany, the United States and other developed countries.
However, with the fastest perception of automotive electrification trends and bold push, China has successfully entered the leading group of global electric vehicles.
The article pointed out that if it is said that in the field of electric vehicles, China and the United States and Europe have launched a parallel competition, in the field of quantum information technology as a future technology, China is also playing a competitive role with the United States and Europe.
Judging from the global patent application volume on quantum information technology, China is leading the world with its huge investment.
At present, China's patent applications account for 52.3%, which has an absolute advantage.
After China, it is followed by Japan (13.8%), the European Union (13.8%), the United States (10%), and South Korea (3.6%).
Looking at the breakdown, China has an absolute advantage in quantum computer patents (52.8% of the world's total), quantum communication (43.2% of the world's total), and quantum sensing (56.6% of the world's total), especially in quantum cryptographic communication.
Source: China has swept half of the world ’ s quantum technology patent investment scale is the world ’ s first
# Quantum # Technology # China # Patent # Quantity

How large are global investments in quantum computing?

How much have countries and blocs invested in quantum computing?

U.S. invested $3.7 B
China invested $15.3B

What countries and blocs are leading in developing quantum computing?

China leads global quantum technology patent applications at 52.3%, followed by Japan and the US with 13.8% and 10%, respectively.

Title:

Content: Quantum technology, known as the powerful engine of next-generation technology, has become increasingly competitive in recent years. According to an article published by Korean media on quantum information technology, quantum technology is not only fiercely competitive, but the scale of investment is also rapidly increasing.
However, according to statistics, in addition to sweeping half of the world's quantum technology patents, China ranks first in the world in the scale of investment in quantum information technology.
According to a South Korean media report, China's basic science and system research and development force of quantum information technology is rapidly growing and has become a competitor on par with the United States and Europe.
And to achieve this kind of technological leap, can not be separated from huge investment.
The data shows that China ranks first in the world in terms of investment in quantum information technology and has built the world ’ s largest quantum laboratory.
As of 2022, China ’ s investment in quantum information technology has reached $15.3 billion, far exceeding Europe ’ s $8.4 billion and the United States ’ $3.7 billion.
South Korean media cited China's often used "curve overtaking" strategy, and pointed out that the rapid development of electric vehicles in recent years as an example, in the 1980s, mainland enterprises officially entered the commercial vehicle industry, and imitated Germany, the United States and other developed countries.
However, with the fastest perception of automotive electrification trends and bold push, China has successfully entered the leading group of global electric vehicles.
The article pointed out that if it is said that in the field of electric vehicles, China and the United States and Europe have launched a parallel competition, in the field of quantum information technology as a future technology, China is also playing a competitive role with the United States and Europe.
Judging from the global patent application volume on quantum information technology, China is leading the world with its huge investment.
At present, China's patent applications account for 52.3%, which has an absolute advantage.
After China, it is followed by Japan (13.8%), the European Union (13.8%), the United States (10%), and South Korea (3.6%).
Looking at the breakdown, China has an absolute advantage in quantum computer patents (52.8% of the world's total), quantum communication (43.2% of the world's total), and quantum sensing (56.6% of the world's total), especially in quantum cryptographic communication.
Source: China has swept half of the world ’ s quantum technology patent investment scale is the world ’ s first
# Quantum # Technology # China # Patent # Quantity

What countries and blocs are leading in developing quantum computing?

The US has at least 20 labs working on superconducting quantum computing, compared to India's four researchers.

Title:

Content: Register Now : Join us for AWS presents TRANSFORMING A BILLION LIVES webinar on Wednesday, 19th April 2023 | 3.00pm onwards
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India is not too late in quantum computing: Tata Institute of Fundamental Research's Rajamani Vijayaraghavan

Investment in quantum tech has crossed $36 billion globally. It is billed to be the next big thing in tech after semiconductors and artificial intelligence. Tata Institute of Fundamental Research (TIFR) scientist says India is lagging, but can catch up

April 06, 2023 / 11:23 AM IST

Professor Rajamani Vijayaraghavan

When Professor Rajamani Vijayaraghavan was not present at a quantum tech conference in New Delhi last week, he was missed by his peers.

As scientists, bureaucrats, military officers and startup executives gathered for a conversation on the way forward for India’s quantum technology ambitions, the general feeling was that Vijayaraghavan should have been there.

Quantum computing taps the unique behaviour of quantum physics to solve certain problems that are too complex for traditional computing.

If semiconductor technology was the first giant leap in computing and Artificial Intelligence is the current disruptor, it is probably going to be quantum technology next. Quantum computing, conceived by Nobel Prize-winning physicist Richard Feynman in the early 1980s, was mostly studied in university labs in the US and Europe until the turn of the millennium.

As advances took place, tech behemoths like Google, International Business Machines (IBM) and Intel threw their hat in the ring with billions of dollars in investment. According to an estimate, China has invested $15 billion even as global funding in the technology has topped $36 billion.

At the New Delhi conclave last week, a senior defence official said the wars of the future will be fought on the quantum front. While sizeable quantum computers do not yet exist, the fear among governments and industry is that it will be a Y2K moment once the technology comes to life.

Apart from strategic affairs, quantum tech is also expected to play a central role in areas like drug discovery, financial modelling, weather forecasting and fighting climate change.

Moneycontrol spoke with Professor Vijayaraghavan, a quantum computing scientist at Tata Institute of Fundamental Research (TIFR) who returned to the country a decade ago after studying at the universities of Cambridge, Yale and Berkeley, to take stock of India’s progress in the area.

Edited excerpts:

At the quantum tech conclave in Delhi last week, it seemed as though most Indian quantum start-ups are working on secure communications rather than quantum computing. Why so?

See, in terms of the technology required for doing quantum key distribution (for secure communications), or associated areas like quantum random number generators, it is now fairly well developed internationally. Also, the essential tools and core pieces of hardware and things you need are relatively low-cost and easily available, compared to quantum computing.

If you shift to quantum computing, even if you just take a very basic estimate, it needs about a million dollars just to set up a very basic lab. This was the kind of funding that was given to me when I started in TIFR about 10 years ago, just to have a very basic setup and do simple experiments.

I'm not even talking about the resources you need to develop prototypes and technology. And even this $1 million is an underestimate, because there are other facilities, which were already existing in the institute for device fabrication, clean rooms, and other tools. If I count all of those, then you are talking about a couple of million dollars, at the very least, to get started.

Now, of course, a company could hire these resources from other places. But such facilities don't exist in India, and as of now, even internationally, they are limited, where a company with no infrastructure of their own, but just the idea and expertise could go to a place and say, hey, you know, here is my design, manufacture this for me, and we will put it together.

Experts say that India first missed the bus in taking a lead in semiconductor technology and now even in artificial intelligence. They say it is now or never if we want to be leaders in quantum computing. What is your take?

I broadly agree with it, but let me expand on that. Before something becomes close to technology, there is decades of basic research where they are not even thinking about technology. I started my PhD in the year 2001, i.e. over 22 years back. And that was a turning point when the field of quantum computing was taking off. That was on the back of basic research in quantum computing from the 1980s.

It is absolutely true that if you want to do this, you have to do it now. And with this particular technology, we are not so far behind. Barring a few areas where things have sort of more or less been figured out, we still need several breakthroughs. Even though it looks like IBM has reached so many qubits (a qubit is the basic unit of information in quantum computing) and Google that many, they still don't have a useful quantum computer today. None of these quantum computers that exist anywhere in the world are really useful in the sense that they can replace something to do the work much better.

At how many qubits do you think we can solve real world problems better than existing supercomputers?

It really depends on what you mean by qubits. So there is this notion of physical qubits and logical qubits. The difference is that physical qubits are unstable. Unlike conventional bits in our regular computers, which are extremely stable, and you don't have to worry about them at all, these things are not stable. They actually randomly change their state and give rise to errors. And this happens over a certain timescale, which can be as short as 10s of microseconds or a few milliseconds.

Today’s quantum computers are essentially limited in how long you can use them, or essentially, what is the longest calculation you can run before you can't trust the results of what the computer is outputting. This is a fundamental problem across all quantum computing platforms today. There are some clear paths to solve this, but it is not clear which particular method would win.

And this is where I want to go back to my earlier point that India is not too late. If we invest now, we could create those breakthroughs that can make this technology useful. If enough people start working, and it's not just one or two people in the entire country, then you can hope that these breakthroughs can happen here. And then that will allow us to take a lead in some areas.

In your estimate, how many people are working on quantum computing in India vis-a-vis the US or other countries?

For superconducting qubit research, as of now, there are four people in India. I was the first one who started about 10 years ago, and then two others started maybe about six and four years ago, and one has just joined.

In the US, there are at least 20 or more academic labs, in addition to Google, IBM, or national labs like Fermilab, and I'm not even counting theoretical groups. Many of them have been working for over 20 years or so. And you know, similarly, in Europe, there will be at least 10 to 15 labs just in superconducting quantum computing.

If you look into some of the other subfields like trapped ion quantum computing, it's even smaller.

One of the major issues in advanced research is brain drain. Many of our best researchers still tend to settle abroad. Is more funding alone going to solve this to an extent? What tipped the scales for you to return?

Decisions about moving back to India can be very complicated, you know. There are all kinds of personal and professional reasons, but the point is very simple. You cannot attract someone to come to India to work in a field that requires a certain level of investment by telling them that we will not give it to you.

For me, I always wanted to come back to India and do something if it is possible. And once I finished my PhD, I started looking around and realised that there are lots of labs, which are fairly high-tech and at the cutting edge. Funding seemed to have improved in the previous few years or decade. It was important that I would be able to do the kind of research I was interested in doing rather than compromise. If that had not happened, I would have taken up a job abroad.

Has the funding scenario gotten better since then?

It's now becoming better, at least among the bigger institutes, but it's still quite a challenge. There is no real guarantee that you will get the kind of funding needed for experimental quantum research, and we are trying to solve this problem with the new funding programmes.

There is a reluctance to invest so much money in a new person. The idea of a startup grant is very clear in the West – your offer letter clearly says that you will get $1 million and you have to spend it in the next four to five years… everything is spelt out. We are not able to do that.  You have to keep your fingers crossed and hope for the best.

This actually does pose a barrier to entry because it's not competitive. If I have offers from an Indian institute, where everything is ambiguous, and some other foreign Institute, where everything is clearly spelt out, then it is very difficult to make a decision in favour of the former. Unless, of course, there are personal reasons to be in the country.

It should be a much more streamlined process for the government to disburse funds now as many new advanced research and academic institutes have come up. What are we missing here?

Oh, no. It is not easy at all. The bigger institutes have some advantages in terms of flexibility of using their funds, but it is not easy to get big grants. Currently, the amount that you can get for a standard Department of Science and Technology (DST) project is Rs 10 lakh-50 lakh. That’s the typical range. Special programmes can provide bigger funding but they are rare.

Usually, it is easier to get big funding when a new institute is being built to set up new facilities. From thereon, things get tougher as you reach a steady state. Look, you need investment if you want to work in quantum tech. Of course, one can make a call that ‘Okay, we cannot afford this research, so we will not do it.’ But if you want to, there is no other option, you have to find ways to support this.

A few years back, the DST started a programme called QUEST (Quantum Enabled Science and Technology) where 50 scientists got funded with a combined funding of about Rs 200 crores. It was the first major effort in funding quantum tech research where an individual group could have hoped to get something of the order of Rs. 5 to 10 crore, which is the minimum you need to set up a lab working in quantum tech.

Was this part of the Rs 8,000 crore quantum national mission announced in the 2020 budget?

No, this was a different programme where the first discussions started in 2017 and the money started coming in  2019-2020. Unfortunately, it was right in the middle of the pandemic, when you know, things were shut, and we couldn't spend the money. On top of that, as part of the pandemic-related things, the government made it very difficult to import things.

The National Mission on Quantum Technology and Applications (NMQTA) with a proposed budget of Rs 8,000 crore is expected to launch sometime soon. Probably, you know, in the next few months. We have been working on it.

Can you tell us more about the import policy?

It was introduced in the summer of 2020. This was not a science policy. This was a government procurement policy. You know, on the face of it, it seems like a good idea. They wanted to encourage Indian industry and push for self-reliance. On paper, it sounds great. And it might even work for certain types of government procurement.

They're basically saying that if you're supported by government funds, you have to prioritise Indian-manufactured goods. And the way they implemented it is by saying that if something costs more than Rs 5 lakh and you want to import it, you have to go through a new procedure and get a waiver before you can even float a global tender.

In the beginning, we were surprised, and we said, okay, maybe they just didn't think about scientific procurement. So, in a few months, they will fix it but it didn't happen. It took about six to seven months before some exception was given. But there is no blanket exception given for scientific procurement.

They reduced the number of signatures required by one and made some exceptions. Unfortunately, even there, because of a lack of clarity, every institute has interpreted the rules differently. And we are definitely facing a lot of problems still. In the best-case scenario, we are still wasting about three months just to get approval to import an item.

Does most scientific procurement happen from abroad?

The problem is to assume that there is an Indian option and we are actively choosing not to use it. That is not the case for 99 percent or even more. It is a well-known fact that for scientific high-tech equipment, there is no manufacturing happening in India… there are no companies which exist. But, we have to now prove it with paperwork to get the waiver. Even if we invest Rs 8,000 crore, it won’t work if these kinds of policies are not fixed. We are wasting a bulk of the time just doing this paperwork, and not actually doing research.

It might be more fruitful if you create opportunities in the nation for companies to come together and manufacture at least some of the things in India. But, when you have not had a manufacturing base in a certain technology for decades, how can you start doing that overnight? And in many cases, it might not even make economic sense for a company because it's a niche market.

Is it possible for India to build an indigenous quantum computer?

In today's globalised world, nothing is going to be fully indigenous. For superconducting qubits, you can innovate the design of the chip and make it here, but the lithographic machines and dilution refrigerators have to come from outside.

There is a section which says we can just use quantum computing on the cloud that foreign tech companies provide. Isn’t there a possibility that the use cases of quantum on the cloud will be limited?

As I said earlier, none of the available quantum computers are doing anything useful better than classical computers at present. When it happens in the future, and it will, you might be able to use cloud-based systems for many applications. On one hand, we can continue to be just a leader in the software layer. One could decide that we will develop the best quantum software in the world, but we will never develop any hardware.

The problem really comes when you start talking about strategic applications – whether the cloud company will provide you with the best systems they have access to. That's the fundamental question we have to ask ourselves.

We don’t have a quantum computer, but startups are providing a solution called quantum key distribution (QKD) for secure communications. How do we know it is really secure if they have not been tested against a quantum computing hack?

QKD fundamentally relies on the fact that if somebody tries to interfere, you will know. And the trick in any secret communication is that if two parties can exchange a key without anybody else knowing, then the information you transmit using encoding based on that key is secure. Quantum key distribution is a method where the laws of physics guarantee that the key you have exchanged has not been intercepted by anybody else. Because the moment somebody intercepts, you will know and you will discard that key. It cannot be broken by even a quantum computer. So you don't need to test it against a quantum computer.

A bureaucrat was saying that enterprises are concerned that they might be sold classical computing solutions in the garb of quantum tech. So the government is trying to bring a quantum certification programme. Would it have the bandwidth to do such accreditation?

You have to look at this slightly differently. There are things in quantum which are impossible in classical. So if whatever you're purchasing is actually carrying out that task, it cannot do it the classical way. And if there are applications where both classical and quantum can do that, then it is unclear why you would bother unless there is a cost advantage or a performance advantage for the quantum solution.

As a business or an enterprise that wants some problem solved, you will put the problem statement, and the quantum company will say this is the solution. So, why do you care what is inside? The bureaucrat was probably referring to quantum communication systems where you want some central body to verify that the system is really secure and meets certain standards. I believe the government is setting up such bodies for various quantum technologies.

Deepsekhar Choudhury Deepsekhar covers tech and startups at Moneycontrol. Tweets at @deepsekharc

What countries and blocs are leading in developing quantum computing?

India's quantum national mission has a proposed budget of Rs 8,000 crore, while the DST's QUEST programme has Rs 200 crores in funding.

China and Russia are investing in quantum technologies, with China spending $15.3 billion and Russia using four platforms.

Title:

Content: Investments in quantum computing startups reached $2.35 billion in 2022
Quantum technologies have great potential for both science and business, and attract large investments in different countries of the world, including Russia.
This is stated in the analytical report "Quantum Computing: Prospects for Business", which was prepared jointly with the Federal State Unitary Enterprise "VNIIA named after N.L. Dukhov" and the Institute of Artificial Intelligence AIRI.
“Increasing attention in the world is paid to supporting start-ups in the field of quantum technologies.
In 2022, venture investors around the world invested $2.35 billion in them.
Also last year, almost 1,600 patents were issued and published in all subfields of quantum computing: from physical implementations of quantum equipment and error correction to AI [artificial intelligence] and machine learning.
Video of the day
Leading countries, realizing the breakthrough potential of this direction, include quantum technologies in national programs and allocate increasing budgets for research.
The leader is China with $15.3 billion in government funding.
Development programs have the leading technological corporations of the world.
So, which has made a quantum processor for 433 qubits [qubit or quantum bit - the main unit of information in quantum processors and quantum computing], plans this year to increase the number of qubits to 1121, and intends to show a device for a thousand qubits after 2025.
The intention to develop a full stack of technologies for quantum computing announced and has already released to the market quantum chips on spin qubits.
In Russia, work on quantum computing is underway on four key physical platforms: superconducting qubits, photonic circuits, neutral atoms, and trapped ions.
The Russian Federation has also formed a pool of organizations, including companies, scientific institutions and universities that conduct research and development, study the applicability of quantum computing to practical tasks.
“Quantum computing can give the world an impetus to the development of new industries based on the processing of big data.
In addition, they can improve the performance and efficiency of artificial intelligence algorithms, the accuracy of models and simulations of complex systems (such as molecules of new drugs, chemical reactions or physical processes), as well as provide a new level of calculations in finance and logistics, new solutions to climate problems and cryptographic algorithms that will provide a higher level of security.
The authors of the report come to the conclusion that although no one in the world has been able to demonstrate practical quantum superiority, nevertheless, companies should plan today what will happen after its achievement.
Quantum computing is able to integrate seamlessly into data processing workflows, using adaptation tools for popular programming languages and interfaces.

How much have countries and blocs invested in quantum computing?

What countries and blocs are leading in developing quantum computing?

In 2022, venture investors put $2.35 billion into quantum computing, with 1,600 patents issued.

Title:

Content: Investments in quantum computing startups reached $2.35 billion in 2022
Quantum technologies have great potential for both science and business, and attract large investments in different countries of the world, including Russia.
This is stated in the analytical report "Quantum Computing: Prospects for Business", which was prepared jointly with the Federal State Unitary Enterprise "VNIIA named after N.L. Dukhov" and the Institute of Artificial Intelligence AIRI.
“Increasing attention in the world is paid to supporting start-ups in the field of quantum technologies.
In 2022, venture investors around the world invested $2.35 billion in them.
Also last year, almost 1,600 patents were issued and published in all subfields of quantum computing: from physical implementations of quantum equipment and error correction to AI [artificial intelligence] and machine learning.
Video of the day
Leading countries, realizing the breakthrough potential of this direction, include quantum technologies in national programs and allocate increasing budgets for research.
The leader is China with $15.3 billion in government funding.
Development programs have the leading technological corporations of the world.
So, which has made a quantum processor for 433 qubits [qubit or quantum bit - the main unit of information in quantum processors and quantum computing], plans this year to increase the number of qubits to 1121, and intends to show a device for a thousand qubits after 2025.
The intention to develop a full stack of technologies for quantum computing announced and has already released to the market quantum chips on spin qubits.
In Russia, work on quantum computing is underway on four key physical platforms: superconducting qubits, photonic circuits, neutral atoms, and trapped ions.
The Russian Federation has also formed a pool of organizations, including companies, scientific institutions and universities that conduct research and development, study the applicability of quantum computing to practical tasks.
“Quantum computing can give the world an impetus to the development of new industries based on the processing of big data.
In addition, they can improve the performance and efficiency of artificial intelligence algorithms, the accuracy of models and simulations of complex systems (such as molecules of new drugs, chemical reactions or physical processes), as well as provide a new level of calculations in finance and logistics, new solutions to climate problems and cryptographic algorithms that will provide a higher level of security.
The authors of the report come to the conclusion that although no one in the world has been able to demonstrate practical quantum superiority, nevertheless, companies should plan today what will happen after its achievement.
Quantum computing is able to integrate seamlessly into data processing workflows, using adaptation tools for popular programming languages and interfaces.

The US leads in North America, Europe invests heavily, and Asia Pacific expects significant growth in quantum computing.

The UK, Germany, and France are investing in quantum computing for healthcare, finance, and energy applications.

What countries and blocs are leading in developing quantum computing?

What fields can quantum computers advance?

China's quantum computer is 10 billion times faster than Google's, surpassing milestones achieved by Google, IBM, and Honeywell.

Title:

Content: Monday, 25 March 2024 02: 58 GMT
UAE invests in ‘ quantum computing ’ to look to the future
(MENAFN- Al-Bayan)
The UAE is investing in the sector of quantum computing, which is expected to reach a global market value of $1 trillion in 2035, as one of the fastest expanding fields of technology in the world and because of its innovative applications capable of solving challenges in many sectors, because of its strength and speed in calculating physical phenomena, compared to traditional computers.
The UAE aims to invest in quantum computing to enable innovation and a knowledge and sustainable economy through the Quantum Research Center and UAE institutes and universities to explore the future of this vital sector. The Institute of Technology Innovation ’ s (TII) Quantitative Research Center is working to build the first quantum computer in the UAE, according to the Interregional Center for Strategic Analytics in Abu Dhabi.
The UAE has quickly realized the benefits of the quantum computing sector in all sectors and fields, especially in the economy and scientific research, as part of the country ’ s long-term strategies to keep pace with the global technological development represented by the fourth industrial revolution and artificial intelligence, which will change the face of the world in the coming years.
IDC expects global investments in quantum computing to reach $16.4 billion by the end of 2027, with a compound annual growth rate of 11.5%, which includes investments by the public and private sectors and R & D spending from technology, services and finance companies.
There is growing interest in quantum computing by global government agencies, with 14 of them (13 countries plus the European Union) announcing multi-year initiatives that will generate billions of dollars for quantum computing research.
The center said that the UAE is among the 50 projects working to create an attractive investment environment for investments in new and future sectors, including quantum computing technology.
According to Accenture Middle East, quantum computing technology is advancing rapidly, making it a promising technology sector.
The US and China dominate the quantum computing sector to take advantage of the features of the new technological revolution that has enabled scientists to study the basic particles of matter, whose applications have multiplied across different fields despite their relative novelty, promising radical transformations for any industry dependent on speed and processing power, including aerospace, automotive, medicine and others.
Quantum computing technologies have a huge market value, with quantum computing alone expected to reach a global market value of $1 trillion by 2035.
Quantum technology has played a role in many areas, including complex mathematical models, simulations, electronic devices, CT scanners and many others, as it has the potential to revolutionize the way humans communicate and process information at record speeds.
The most prominent areas of use of quantum computing can be found in many fields of military, communications and medicine, and can address economic crises and challenges quickly, and there is no doubt that quantum computing technology can change the map of national industries.
Major technology companies are leading efforts to develop quantum computing, with Google Research Lab and IBM, which built one of the largest quantum computers in the field, and the Chinese University of Science and Technology has developed a quantum computer that is 10 billion times faster than the computer developed by Google.
Follow the economic statement via Google News
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What advantages do quantum computers have over conventional computers?

What countries and blocs are leading in developing quantum computing?

The UAE is among 50 projects promoting quantum computing, with global investment exceeding $36 billion.

How large are global investments in quantum computing?

Australia leads in quantum computing research.

Title:

Content: Chandeliers, ‘qubits’ and Schrödinger’s cat: Inside the bizarre world of quantum computing

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Explainer

Chandeliers, ‘qubits’ and Schrödinger’s cat: Inside the bizarre world of quantum computing

In the quantum realm, the laws of physics are different. Now its mind-bending tech could soon transform our lives. How does it work?

It was 2009, and a group of scientists had crowded around a tiny monitor in a Sydney physics laboratory. The team, led by electrical engineer Andrea Morello, held their collective breath and peered at a single flat line on the screen. Then, in the blink of an eye, the line changed: it was a series of blips, like a heartbeat. They’d hit paydirt. “When you see that symbol, you’re in the game,” recalls physicist Charles Tahan.

Welcome to the quantum world, a subatomic realm – yes, smaller than an atom – where the laws of physics are, well, different. The experiment made Morello and his team the first in the world to show that a quantum computer could be made using not diamonds, not the superconductor niobium, but everyday silicon. “To show you could do that, 100 different things had to go right,” says Tahan.

Quantum computing is one of the key technologies defining this century. Its proponents say it will do for computers what the car did to the horse and buggy. It will upend encryption and molecular biology. In theory, it could even possibly find cures for cancer. Australia is among the world leaders in a quantum computing gold rush, with Prime Minister Anthony Albanese saying his government is “serious about building a strong quantum ecosystem” and investing nearly a billion dollars.

Yet despite eye-watering outlays worldwide, quantum computing is still in its infancy, part of a mind-bending world that physicists are only beginning to fully grasp. What is it? And how will it make a difference to our lives?

How does a quantum computer work (and why did Alice in Wonderland have the jump on it?)

It’s often remarked that it looks like a beautiful chandelier, or a wedding cake. And IBM’s quantum computer, one of the world’s largest, is certainly an intriguing object, an intricate dome of golden wires and graceful tubes suspended from a ceiling.

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The part we can see, though, is really just the control and support system for a microchip (currently a version called Condor) buried deep inside. The glittering exoskeleton is there to keep its tiny heart as cold as possible – a hundred times colder than the coldest depths of space – and to feed information in and out, the process that makes it a “computer” and not just a science experiment.

The chip itself is smaller than a postage stamp, with several layers of circuitry and metal sandwiched in a tiny square, cooled to improve conductivity and to eliminate “noise”, the bugbear of many such devices. But even what we see here is not where the action happens. For that, we have to go deeper still, down into the chip and well beyond what’s visible through even the most powerful microscope, beyond the layers of individual atoms, into the atoms themselves.

‘The truth is the universe doesn’t run by the rules that we see every day – gravity, you bounce a ball and it falls. It runs on these other rules: quantum mechanics.’

In the subatomic realm of electrons, protons and photons, things happen very differently. Indeed, these tiny particles have no use for Newton’s laws of physics, nor even many of Einstein’s. “The truth,” says Tahan, “is the universe doesn’t run by the rules that we see every day – gravity, you bounce a ball and it falls. It runs on these other rules: quantum mechanics.”

Why these particles behave as they do in the quantum realm is a difficult concept to get your head around. Even Einstein resisted aspects of it, famously arguing that “God does not play dice with the Universe”. It was a misstep. “Because he didn’t believe in the completeness of quantum mechanics,” says Morello, “he lost a lot of productive years because he didn’t understand how it is possible that this thing is true.”

Many leading physicists investigated the concept from the early 1900s, including some familiar from popular culture today, notably Einstein and Neils Bohr (portrayed in Oppenheimer), Werner Heisenberg (whose name Walter White stole for his drug-chemist alter ego in Breaking Bad) and Viennese physicist Erwin Schrödinger, of the famous cat experiment (explained below).

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Lewis Carroll, meanwhile, may have had the jump on quantum physics with his ideas in the Alice books, as James Renner observed in The Wall Street Journal in 2015. “We speak of going down the wormhole into a mysterious world that defies Newtonian physics, where once Alice went down the rabbit hole into a mysterious world that had much the same effect. Now we speak of quantum particles being in two places at once or even Schrödinger’s cat being alive and dead at the same time, long after the Cheshire Cat’s grin was magically displaced from its body.”

The quantum realm has only truly begun to reveal itself to us relatively recently. In 1964, the Irish-born physicist John Bell published one of the most important theorems, which, according to Professor Andrew Whitaker in Physics World, “opened up the possibility of experimental philosophy, the study of what are normally thought of as philosophical issues in experiments. Not only do these experiments probe the deepest and most profound aspects of quantum theory, they also provide information on the fundamental nature of the universe.”

At the time, Bell’s theorem could not be tested in a lab. That would come in the late 1960s and early 1970s when experimentalists such as John Clauser began to show that the weirdness Bell had described on paper actually occurred in the real world. Which, at the time, was considered quite rude. One eminent physicist “was highly offended by my impertinent effort and told me that it was tantamount to professing a disbelief in quantum physics,” Clauser later recalled.

He and other apostates continued their work because he found some of the predictions “sufficiently bizarre that I could not accept them without seeing experimental proof”. Working with leftover lab equipment – “physics department scrap” – he went on to provide experimental evidence that refuted even Einstein’s theories. “I was very sad to see that my own experiment had proven Einstein wrong,” he said. Clauser would go on to win the 2022 Nobel Prize for Physics alongside Alain Aspect and Anton Zeilinger for their groundbreaking experiments with so-called “entangled” particles.

Quantum physicists still despair at the difficulties of explaining their weird world to outsiders. “Many writers fall back on boilerplate that makes physicists howl in agony,” wrote computer scientist Scott Aaronson in The New York Times in 2019. Unfortunately, says Gerard Milburn, a quantum physicist from the University of Queensland, “The quantum world lies beyond the reach of natural language.”

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But we’ll give it a go. Chiefly, particles in the quantum realm aren’t tied down to being in one place or state in the way bigger things are in the outside world, such as cats, which tend to be in one place at once. They obey different rules entirely. The first way to understand this oddness harks back to high-school science and how light can behave as both a particle and a wave. Photons – bursts of light – can act like ball bearings, with position and momentum. Yet light also behaves like a wave washing over a beach in a way that a ball bearing can’t. That’s a quantum physics party trick.

What is Schrödinger’s cat?

The most famous primer for quantum mechanics is the paradox of Schrödinger’s cat, a mind experiment devised by Schrödinger in 1935. A hypothetical cat goes into a box with a vial of poison gas, which has a 50-50 chance of killing it. You close the box and can’t see inside. So, without opening the box, you can’t know whether the poison has killed the cat or not. Therefore, posited Schrödinger, puss is neither dead nor alive but both – until you open the box.

In quantum mechanics, this state is called “superposition”. It’s impossible to describe properly without a background in higher-level mathematics, which we lack, but it generally means not knowing whether, say, an electron is over here, or over there, or – cat-like – in both places at the same time. Another way of looking at it is to visualise a coin spinning on its side. Until it stops and lands on one side or another, it’s not heads or tails but both.

At least, kind of.

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“Every explanation we give in lay terms is in some way wrong,” says Stephen Bartlett, a theoretical quantum physicist and director of the University of Sydney Nano Institute. “People often say a quantum superposition is in the value zero and the value one at the same time. That’s sort of right, and sort of not right.” Says Morello: “This is where language is failing us, right? If you’re trying to say that in plain English, it sounds really weird. But if you actually think about, you know, the mathematics of it, and the actual physical embodiment of that, it actually makes perfect sense.” Suffice to say, a real cat cannot find itself in “superposition”: this is a state that can exist only in the subatomic world.

How is this useful (and what’s a qubit)?

In a conventional computer, information is encoded as voltages that pass around the system thanks to millions of tiny transistors – essentially, gates or switches that turn on and off. A quantum computer is similar except that instead of using transistors as switches it uses subatomic particles, such as electrons or photons, that can have many more states than simply on or off, according to their position, momentum, spin direction and polarisation. Once harnessed – and there are many ways of doing that – these particles-as-switches are called “qubits”, a play on the word “bit”, the smallest unit of data that a computer can process and store.

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Information can be encoded on qubits in various ways: for his computers, Morello uses silicon and strong magnetic fields like those found in MRI machines. “The stuff that I build in my lab is actually a small silicon chip the size of a fingernail,” he says, “but the whole infrastructure around it is quite fancy. It’s a very powerful refrigerator that cools down the chip to [just] above absolute zero.

Critically, qubits can relate to other qubits in a state called “entanglement”. This enables quantum computers to perform multiple calculations simultaneously – which is their superpower. Schrödinger described entanglement as “the characteristic trait of quantum mechanics, the one that enforces its entire departure from classical lines of thought”. Sceptical Einstein called entanglement “spooky action at a distance”. Gerard Milburn says entanglement is great for building a computer “because if you want to have all these switches, having them strongly correlated is exactly what you want. And if you can control those correlations, you can do computation.”

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It’s these characteristics that have scientists and engineers excited. Not because quantum computers will necessarily take over from the conventional miracles we so rely on today but because they can do some particular things that transistor-based machines either struggle with or fail at completely. Today’s supercomputer might try to simulate molecular behaviour with “brute force”, says IBM’s quantum department. “But as it moves past the simplest, most straightforward molecules available, the supercomputer stalls. Quantum algorithms take a new approach to these sorts of complex problems, creating multidimensional computational spaces.”

‘Calculations that are completely impossible … would rapidly become possible on a quantum computer.’

This might include modelling how a drug might affect a virus, how new materials in aeroplanes might react to stress, or the exact process necessary to create a perfect chemical reaction.

“Calculations that are completely impossible – not just on present-day conventional computers but any conceivable future conventional computer – would rapidly become possible on a quantum computer,” says Andrew Doherty, professor of physics at Sydney University. “These are things where the application of that computer would be transformative to people’s lives without every home, you know, having a laptop quantum computer.”

Whether quantum computing will also revolutionise artificial intelligence is less certain. AI works by drawing from a huge amount of data, which is not something that naturally fits on a quantum computer, says Morello. “The problem with quantum computers in general and, in particular, with applications to AI is that loading data into them and reading data out of them is slow and cumbersome and prone to errors. It’s a bottleneck.”

Why is it so hard to build quantum machines?

Creating the qubits is hard, whatever material you start with. Interfacing with them via tiny wires like the golden lattice in IBM’s machines is hard. Getting accurate information from them is hard: “noise”, in the form of vibration or spurious electromagnetic signals, makes them behave badly and give poor results – “decoherence”, in physics speak.

Much of Andrew Doherty’s team’s work these days is in figuring out how to reduce this noise to acceptable levels and compensating for the errors that noise produces. “Compared to our conventional computers, quantum technology [computers] are very noisy devices,” he says. “They go wrong one time in 1000 as opposed to one time in an astronomically huge number of uses of [normal computers].”

Teams around the world are working on multiple approaches both to building the machines and compensating for their eccentricities, from labs in Australia to the tech giants Google, Microsoft and IBM – its Quantum Lab relies on superconducting qubits made from aluminium and niobiumand the Chinese government.

Some versions, such as IBM’s and Morello’s, chill the atoms to keep them as stable as possible. In contrast, the Australian company Quantum Brilliance is working with synthetic diamonds because they work at room temperature. “Unlike other materials,” says co-founder Marcus Doherty (no relation to Andrew), “diamond’s incredible hardness means that even at room temperature, there isn’t enough thermal energy in the environment to create vibrations that destroy the quantum properties of qubits.”

‘People are working really hard to try to find different mathematical problems that they think maybe quantum computers can’t crack.’

Another key moment in the quantum timeline came in 1994 when US mathematician Peter Shor showed that a quantum computer could crack encryption standards safeguarding everything from national intelligence systems to bank accounts. “He devised an algorithm, in theory, that he would need to run on a quantum computer,” says Bartlett. “And if you could build a quantum computer of sufficient size, then yeah, all information security falls apart.” Cybersecurity experts call that scenario Q-Day. “At the moment, people are working really hard to try to find different mathematical problems that they think maybe quantum computers can’t crack,” says Bartlett.

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In 2001, IBM made a seven-qubit device controlled through radio frequency pulses to demonstrate Shor’s Theorem. IBM’s prototype wasn’t given a huge task, managing to calculate that three times five was … wait for it ... 15. Yet this was considered a great success, even if it had shades of the famous supercomputer Deep Thought from Douglas Adams’ Hitchhiker’s Guide to the Galaxy, which ponders the question of “life, the universe and everything” for thousands of years before giving the answer: 42.(Adams also dreamed up the Infinite Improbability Drive for a spaceship called the Heart of Gold, which used quantum theory to allow it to cross through every point in the universe simultaneously, allowing interstellar travel without all that “tedious mucking about in hyperspace”.)

Then, in 2019, Google claimed its 54-qubit Sycamore processor had performed a calculation in 200 seconds that would have taken the world’s most powerful supercomputer 10,000 years – a breakthrough some breathlessly likened to the Wright brothers’ first flight in 1903. Others were more sceptical, saying it would be many more years before quantum computers would have enough qubits – and be stable enough – to do anything actually useful. IBM said it could simulate Google’s experiment in two-and-a-half days on a “normal” computer, albeit if it had access to the Oak Ridge Summit supercomputer, a beast occupying an area the size of two basketball courts. IBM’s shimmering Eagle, meanwhile, had just 127 qubits; its successors, Osprey and now Condor, have pushed the bar to over 1000 and it plans for 1386 qubits in its Kookaburra in 2025.

Yet most of these devices are still basically proofs of concept, says Morello, the first step to manufacturing and miniaturising, as we saw with today’s transistor-based computers, which started out as rooms full of valves and cables. In the post-World War II era, says Andrew Doherty, “computers took up office floors of buildings in Manhattan and people put paper cards into them to program them. Out came numbers that even my childhood pocket calculator could have calculated right.” Many hundreds of billions of dollars have gone into developing computer technology, in packaging it for convenience and getting the components to work reliably, he says. “That whole engineering thing has got to grow up around these quantum technologies.”

Already, Marcus Doherty’s Quantum Brilliance has installed a quantum computer at the Pawsey Supercomputing Centre in Perth and is about to export computers, at this stage for customers to experiment with quantum computing and work out how to make it useful. In the future, finding commercial applications for a quantum computer will require tailoring it, at least initially, says UNSW’s Maja Cassidy, a former quantum researcher for Microsoft. “People have to go in and understand a company’s problem, how they’re using classical computing and … work out what section might be enhanced by the quantum computer.”

Who is leading the quantum race?

China is the only other nation giving the United States a run for its money. Its leader, Xi Jinping, put accelerating quantum technology in his 2021 five-year plan. McKinsey & Company estimates China has spent at least $15.3 billion in public funds on quantum research. That partly came to fruition in April with the Chinese Academy of Science’s unveiling of a 504-qubit chip, still half the size of IBM’s biggest.

For its part, Australia got a head start with quantum research in the 1990s. Today, two major spinoffs from UNSW research are pursuing silicon-based quantum computing: Silicon Quantum Computing (SQC), led by Professor Michelle Simmons, and Diraq, led by Professor Andrew Dzurak. SQC’s approach involves embedding phosphorus atoms within a wafer of silicon. Dzurak’s approach involves trapping electrons on silicon transistors. Both have the advantage of silicon chips already being ubiquitous. “Today, in our phones and our laptops, the silicon chips that are in those have upwards of a billion transistors on them,” says Dzurak. “The benefit of the technology that we’ve developed is that we are also able to get millions, and ultimately billions, of quantum bits onto a single silicon chip.”

‘Computers as we know them today are an absolutely mind-blowing achievement. So any technology that has the ambition of being an alternative or being better than that has a phenomenally high bar to clear.’

Other leading players in Australia include Q-CTRL, which is working on controlling and enhancing quantum hardware; quantum security company QuintessenceLabs; and Doherty’s Quantum Brilliance, which used its synthetic diamonds in the world-first integration of a two-qubit quantum device into a supercomputer at room temperature in 2022.

Meanwhile, out of the University of Queensland came early gains in “photonic” quantum computing, which harnesses particles of light – photons – as qubits. In April, the federal and Queensland governments jointly set aside $940 million in share purchases, grants and loans for PsiQuantum, a Silicon Valley company whose founders include Australian professors Jeremy O’Brien and Terry Rudolph. Unlike ions or electrons, photons are not charged, Bartlett says, so are not sent haywire by electromagnetic forces – but they are hard to manipulate and measure.

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Another approach involves “trapped ion” quantum computing, pursued by US company IonQ: physicists take an atom, flick off an electron so it is positively charged, then suspend the resulting ion within an electromagnetic field and manipulate the ion with lasers. But Bartlett says this approach will be hard to scale, given the technology to suspend millions of ion qubits doesn’t yet exist.

In April, the federal government also announced $18 million for the University of Sydney to establish Quantum Australia, a research consortium between several universities headed by Bartlett. “It used to be a small research community,” he says. “You absolutely needed to speak the common language of everyone else, which were the rules of physics. Now we are really seeing quite a bit of specialisation.”

Even if quantum computers develop practical uses, they will likely live in vast, super-cooled server farms where land and power are cheap. We’ll communicate with them through our everyday devices, much as we download and upload data from cloud servers, Netflix, TikTok, DropBox, whatever, today. The real challenge for quantum computing, says Morello, is that the alternative is “really, really good”. “Computers as we know them today are an absolutely mind-blowing achievement. So any technology that has the ambition of being an alternative or being better than that has a phenomenally high bar to clear.”

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China has invested $15.3 billion in quantum research.

How much have countries and blocs invested in quantum computing?

What countries and blocs are leading in developing quantum computing?

The US National Institute of Standards will release post-quantum encryption standards.

Title:

Content: FINANCIAL TIMES
Quantum computing.
Is it time to get serious about it?
The old joke that quantum computing is the technology of the future — and will remain so forever — is no longer funny.
The engineering challenges of building a quantum computer powerful enough to fulfill its extraordinary theoretical promise remain enormous.
But early prototypes are evolving rapidly and the future may come faster than expected.
Every data-rich body should start thinking about how to move into a quantum world, as the U.S. National Institute of Standards and Technology is set to release encryption standards for the post-quantum era next year.
Quantum computers, which exploit the frightening behavior of subatomic physics, operate differently from conventional computers, expanding the range of possible solutions to many problems.
Some companies are exploring the potential of hybrid methods, combining the current capabilities of primitive quantum computers and their classical counterparts to improve port logistics, airline schedules, grocery delivery, and TV ad programming, for example.
Alan Baratz, CEO of DWave, an American quantum computing company, said: “Quantum has become real today.
But serious threats to quantum computing may emerge faster than its potential.
Security experts warn of the dangers of QDay, when a quantum computer may be able to hack into the RSA encryption system, widely used by tech companies, banks and governments in their data.
Earlier this month, the heads of the intelligence agency Five Eyes, which included the US, UK, Canada, Australia and New Zealand, warned of the dangers of China ’ s activities in quantum computing, artificial intelligence and synthetic biology.
Ken McCallum, director general of MI5, said: “If you ’ re close to the latest technologies, you may not be interested in geopolitics, but geopolitics is interested in you. ”
Since 1994, when mathematician Peter Shore wrote an algorithm that could run on an as-yet-uninvented quantum computer to hack the RSA system, security experts have been concerned about the world ’ s digital secrets.
It may take another decade (or more) before we have a quantum computer stable enough to run Shore ’ s algorithm, but we can never be sure when that day will come.
However, this is one of those rare technological fields, when the solution anticipates the problem.
Since 2016, the US National Institute has been ordering and evaluating anti-cryptography.
Four approved standards will be released next year, which will then be replaced by other agencies around the world.
According to Ilham Kashefi, chief scientist at the UK ’ s National Centre for Quantum Computing, it would be “very worrying ” if any organisation held sensitive data that was not really prepared for the threat posed by QDay.
Speaking at the Ceftaid summit earlier this month, she said: “You should be very concerned. ”
One concern, Kashefi said, is that adversaries can harness data today and decrypt it later when quantum computers have evolved.
That may not matter if the old data hacked are daily supermarket sales records.
But it will be different if the data contains health records or sensitive personal information.
Switching from one crypto system to another across thousands of organizations will take years to implement.
That ’ s why internet experts are urging companies to start thinking now about how to adopt the NIST crypto standard.
The transition to a quantum resistant world would be a win-win for some cybersecurity companies.
That ’ s what BQ Shield, an Oxford-based startup that recently held an expert conference to examine whether NIST ’ s mathematical drafts can work in the “bad ” hardware world.
The good news, according to Ali al-Qafarani, founder of BQ Shield, is that it can.
He said to me, “Is there a perfect security solution at all?
He never exists.
"But my personal view is that these schemes are very secure, powerful and very difficult to penetrate, whether on a classical or quantum computer."
When I spoke with Shore earlier this year, he predicted that the quantum computer needed to run his algorithm might still be several decades away.
But in the meantime, he composed a poem to explain the quantum puzzle:
"If the computers you are building are quantitative,
Spies from all factions will want it.
All our symbols will fail.
They'll read all of our e-mails.
Until we get quantum cryptography, and scare them with its power. ”
Publish it.
MORE FROM FINANCIAL TIMES

What countries and blocs are leading in developing quantum computing?

What fields can quantum computers advance?

China's quantum computing activities pose security threats, highlighting the need for international cooperation.

Title:

Content: FINANCIAL TIMES
Quantum computing.
Is it time to get serious about it?
The old joke that quantum computing is the technology of the future — and will remain so forever — is no longer funny.
The engineering challenges of building a quantum computer powerful enough to fulfill its extraordinary theoretical promise remain enormous.
But early prototypes are evolving rapidly and the future may come faster than expected.
Every data-rich body should start thinking about how to move into a quantum world, as the U.S. National Institute of Standards and Technology is set to release encryption standards for the post-quantum era next year.
Quantum computers, which exploit the frightening behavior of subatomic physics, operate differently from conventional computers, expanding the range of possible solutions to many problems.
Some companies are exploring the potential of hybrid methods, combining the current capabilities of primitive quantum computers and their classical counterparts to improve port logistics, airline schedules, grocery delivery, and TV ad programming, for example.
Alan Baratz, CEO of DWave, an American quantum computing company, said: “Quantum has become real today.
But serious threats to quantum computing may emerge faster than its potential.
Security experts warn of the dangers of QDay, when a quantum computer may be able to hack into the RSA encryption system, widely used by tech companies, banks and governments in their data.
Earlier this month, the heads of the intelligence agency Five Eyes, which included the US, UK, Canada, Australia and New Zealand, warned of the dangers of China ’ s activities in quantum computing, artificial intelligence and synthetic biology.
Ken McCallum, director general of MI5, said: “If you ’ re close to the latest technologies, you may not be interested in geopolitics, but geopolitics is interested in you. ”
Since 1994, when mathematician Peter Shore wrote an algorithm that could run on an as-yet-uninvented quantum computer to hack the RSA system, security experts have been concerned about the world ’ s digital secrets.
It may take another decade (or more) before we have a quantum computer stable enough to run Shore ’ s algorithm, but we can never be sure when that day will come.
However, this is one of those rare technological fields, when the solution anticipates the problem.
Since 2016, the US National Institute has been ordering and evaluating anti-cryptography.
Four approved standards will be released next year, which will then be replaced by other agencies around the world.
According to Ilham Kashefi, chief scientist at the UK ’ s National Centre for Quantum Computing, it would be “very worrying ” if any organisation held sensitive data that was not really prepared for the threat posed by QDay.
Speaking at the Ceftaid summit earlier this month, she said: “You should be very concerned. ”
One concern, Kashefi said, is that adversaries can harness data today and decrypt it later when quantum computers have evolved.
That may not matter if the old data hacked are daily supermarket sales records.
But it will be different if the data contains health records or sensitive personal information.
Switching from one crypto system to another across thousands of organizations will take years to implement.
That ’ s why internet experts are urging companies to start thinking now about how to adopt the NIST crypto standard.
The transition to a quantum resistant world would be a win-win for some cybersecurity companies.
That ’ s what BQ Shield, an Oxford-based startup that recently held an expert conference to examine whether NIST ’ s mathematical drafts can work in the “bad ” hardware world.
The good news, according to Ali al-Qafarani, founder of BQ Shield, is that it can.
He said to me, “Is there a perfect security solution at all?
He never exists.
"But my personal view is that these schemes are very secure, powerful and very difficult to penetrate, whether on a classical or quantum computer."
When I spoke with Shore earlier this year, he predicted that the quantum computer needed to run his algorithm might still be several decades away.
But in the meantime, he composed a poem to explain the quantum puzzle:
"If the computers you are building are quantitative,
Spies from all factions will want it.
All our symbols will fail.
They'll read all of our e-mails.
Until we get quantum cryptography, and scare them with its power. ”
Publish it.
MORE FROM FINANCIAL TIMES

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threatening national security through breaking encryption

Top tech companies like IBM, Google, Microsoft, and Honeywell are major players in the quantum computing market.

What countries and blocs are leading in developing quantum computing?

IBM's quantum computer has over 1000 qubits.

What seminal quantum computers/ processors have been developed?

Google achieved quantum supremacy in 2019 with its Sycamore processor.

Title:

Content: Google, IBM and China have already achieved quantum supremacy. Now they face another challenge: the correction of errors

Quantum supremacy is no longer at the center of the debate. It was at the end of 2019 because it came to light that the Google team led by John Martinis had managed to achieve it using its Sycamore quantum processor, and no one had done it until that moment. The noise that this news caused when it broke was justified.

But a year later, in December 2020, the group of Chinese researchers led by Jian-Wei Pan published an article in Science showing that I had also reached using its Zuchongzhi superconducting processor. And a year later, in November 2021, IBM followed suit and announced that it had reached this milestone using its 127-qubit Eagle quantum processor.

At this point no one doubts that quantum computers have come a long way. And, furthermore, they have done it in a real record time if we bear in mind that the first solid theoretical proposals arrived in the mid-1990s. And they are already capable of solving a few problems (very few still). in much less time than the most advanced supercomputers we currently have.

In fact, this is what quantum supremacy consists of: in solving in a short period of time, a few minutes or a few hours, a problem in which a classical supercomputer would spend many years. Even several centuries. Or millennia. Right now it is not too important whether these problems have practical applications or not. Whether or not they are relevant. We are still establishing the foundations of quantum computing, and the important thing is to face the challenges that are around the corner.

In search of higher quality qubits

One of the biggest challenges facing researchers involved in the development of quantum computing is delaying the onset of quantum decoherence. This phenomenon occurs when the necessary conditions for a system that is in an entangled quantum state to be maintained disappear.

Perhaps a slightly simpler way of describing it is to see it as a system that stops behaving as dictated by the rules of quantum mechanics when certain conditions are met, beginning to behave from that moment on as dictated by the rules of classical physics. . When does quantum decoherence appear? quantum effects disappear. And, therefore, also the advantages that they bring in the context of quantum computing.

The time it takes for quantum decoherence to appear is closely linked to the quality of the qubits

This phenomenon is very important because it helps us understand why many macroscopic physical systems do not exhibit quantum effects. Or, what is the same, why in our daily environment we cannot observe the counterintuitive effects of quantum mechanics. In any case, what is really relevant is that as the the quality of the qubits of a quantum processor, the longer it takes for quantum decoherence to appear. And, for this reason, we have more time available to carry out operations with it.

The two qubit fabrication technologies that are currently giving us the best results are superconducting qubits, which benefit greatly from recent advances in silicon lithography, and ion traps. However, some research groups also have other very promising technologies on the table that are worth pursuing, such as neutral atoms or the ions implanted in macromolecules.

IBM already has a 127-qubit superconducting quantum processor, and by the end of 2023 it plans to have Condor ready, a promising quantum chip with no less than 1,121 qubits.

We already brush the correction of errors with the tips of our fingers

The other big challenge facing quantum computing right now is error correction. Quantum computers make errors when carrying out some operations, and when this happens, the results they return to us are not correct, of course. The problem is that implementing a quantum error correction protocol it’s not trivial. And furthermore, if they abound, it is essentially impossible to correct them and simultaneously prevent the quantum processor’s efficiency from sinking.

Fortunately, we have good news. As we told you a few days ago, three independent research groups have managed to perfect superconducting qubits that have an accuracy greater than 99%. This simply means that they make mistakes very infrequently, and the good news is that when they are so infrequent it is easier to correct them. Much easier.

When the incidence of errors is less than 1%, it is much easier for quantum fault-correction protocols to carry out their task

In fact, these research groups ensure that when the incidence of errors is less than 1% quantum fault-correction protocols find it much easier to do their job. At the moment they are working with only one or two qubits, and these quantum processors are too simple to solve significant problems, but if they manage to scale this technology to many more qubits, quantum computers could leave behind one of the biggest challenges they currently face. .

As we have just seen, quantum computing is advancing at a breakneck pace. The entry of private companies in this sector you are greatly accelerating your progress, but before we get carried away with enthusiasm, it is important that we keep in mind that there are other challenges that are also crucial to solve.

Two of the most substantial are the need to control qubits more precisely, and also the importance of implementing new quantum algorithms that they are able to help us tackle the problems that we cannot solve with the most powerful classical supercomputers that we have today. Still, the future for quantum computing is hopeful. And, above all, very promising.

Pictures | IBM

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What are important areas in quantum research?

What companies are leading in developing quantum computing?

What countries and blocs are leading in developing quantum computing?

What have been the landmark achievements in quantum computing?

Google's Sycamore quantum supremacy experiment

China achieved quantum supremacy in 2020 with the Zuchongzhi processor.

Title:

Content: Google, IBM and China have already achieved quantum supremacy. Now they face another challenge: the correction of errors

Quantum supremacy is no longer at the center of the debate. It was at the end of 2019 because it came to light that the Google team led by John Martinis had managed to achieve it using its Sycamore quantum processor, and no one had done it until that moment. The noise that this news caused when it broke was justified.

But a year later, in December 2020, the group of Chinese researchers led by Jian-Wei Pan published an article in Science showing that I had also reached using its Zuchongzhi superconducting processor. And a year later, in November 2021, IBM followed suit and announced that it had reached this milestone using its 127-qubit Eagle quantum processor.

At this point no one doubts that quantum computers have come a long way. And, furthermore, they have done it in a real record time if we bear in mind that the first solid theoretical proposals arrived in the mid-1990s. And they are already capable of solving a few problems (very few still). in much less time than the most advanced supercomputers we currently have.

In fact, this is what quantum supremacy consists of: in solving in a short period of time, a few minutes or a few hours, a problem in which a classical supercomputer would spend many years. Even several centuries. Or millennia. Right now it is not too important whether these problems have practical applications or not. Whether or not they are relevant. We are still establishing the foundations of quantum computing, and the important thing is to face the challenges that are around the corner.

In search of higher quality qubits

One of the biggest challenges facing researchers involved in the development of quantum computing is delaying the onset of quantum decoherence. This phenomenon occurs when the necessary conditions for a system that is in an entangled quantum state to be maintained disappear.

Perhaps a slightly simpler way of describing it is to see it as a system that stops behaving as dictated by the rules of quantum mechanics when certain conditions are met, beginning to behave from that moment on as dictated by the rules of classical physics. . When does quantum decoherence appear? quantum effects disappear. And, therefore, also the advantages that they bring in the context of quantum computing.

The time it takes for quantum decoherence to appear is closely linked to the quality of the qubits

This phenomenon is very important because it helps us understand why many macroscopic physical systems do not exhibit quantum effects. Or, what is the same, why in our daily environment we cannot observe the counterintuitive effects of quantum mechanics. In any case, what is really relevant is that as the the quality of the qubits of a quantum processor, the longer it takes for quantum decoherence to appear. And, for this reason, we have more time available to carry out operations with it.

The two qubit fabrication technologies that are currently giving us the best results are superconducting qubits, which benefit greatly from recent advances in silicon lithography, and ion traps. However, some research groups also have other very promising technologies on the table that are worth pursuing, such as neutral atoms or the ions implanted in macromolecules.

IBM already has a 127-qubit superconducting quantum processor, and by the end of 2023 it plans to have Condor ready, a promising quantum chip with no less than 1,121 qubits.

We already brush the correction of errors with the tips of our fingers

The other big challenge facing quantum computing right now is error correction. Quantum computers make errors when carrying out some operations, and when this happens, the results they return to us are not correct, of course. The problem is that implementing a quantum error correction protocol it’s not trivial. And furthermore, if they abound, it is essentially impossible to correct them and simultaneously prevent the quantum processor’s efficiency from sinking.

Fortunately, we have good news. As we told you a few days ago, three independent research groups have managed to perfect superconducting qubits that have an accuracy greater than 99%. This simply means that they make mistakes very infrequently, and the good news is that when they are so infrequent it is easier to correct them. Much easier.

When the incidence of errors is less than 1%, it is much easier for quantum fault-correction protocols to carry out their task

In fact, these research groups ensure that when the incidence of errors is less than 1% quantum fault-correction protocols find it much easier to do their job. At the moment they are working with only one or two qubits, and these quantum processors are too simple to solve significant problems, but if they manage to scale this technology to many more qubits, quantum computers could leave behind one of the biggest challenges they currently face. .

As we have just seen, quantum computing is advancing at a breakneck pace. The entry of private companies in this sector you are greatly accelerating your progress, but before we get carried away with enthusiasm, it is important that we keep in mind that there are other challenges that are also crucial to solve.

Two of the most substantial are the need to control qubits more precisely, and also the importance of implementing new quantum algorithms that they are able to help us tackle the problems that we cannot solve with the most powerful classical supercomputers that we have today. Still, the future for quantum computing is hopeful. And, above all, very promising.

Pictures | IBM

Source link

About Admin

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Android | Why does my cell phone get hot | Solution | problem | Smartphones | Battery | nnda | nnni | SPORT-PLAY

Currently, cell phones have a series of components, such as a battery that lasts two …

What countries and blocs are leading in developing quantum computing?

What have been the landmark achievements in quantum computing?

China's "Zu Chongzhi-2" quantum supremacy experiment

IBM achieved quantum supremacy in 2021 with its 127-qubit Eagle processor.

Title:

Content: Google, IBM and China have already achieved quantum supremacy. Now they face another challenge: the correction of errors

Quantum supremacy is no longer at the center of the debate. It was at the end of 2019 because it came to light that the Google team led by John Martinis had managed to achieve it using its Sycamore quantum processor, and no one had done it until that moment. The noise that this news caused when it broke was justified.

But a year later, in December 2020, the group of Chinese researchers led by Jian-Wei Pan published an article in Science showing that I had also reached using its Zuchongzhi superconducting processor. And a year later, in November 2021, IBM followed suit and announced that it had reached this milestone using its 127-qubit Eagle quantum processor.

At this point no one doubts that quantum computers have come a long way. And, furthermore, they have done it in a real record time if we bear in mind that the first solid theoretical proposals arrived in the mid-1990s. And they are already capable of solving a few problems (very few still). in much less time than the most advanced supercomputers we currently have.

In fact, this is what quantum supremacy consists of: in solving in a short period of time, a few minutes or a few hours, a problem in which a classical supercomputer would spend many years. Even several centuries. Or millennia. Right now it is not too important whether these problems have practical applications or not. Whether or not they are relevant. We are still establishing the foundations of quantum computing, and the important thing is to face the challenges that are around the corner.

In search of higher quality qubits

One of the biggest challenges facing researchers involved in the development of quantum computing is delaying the onset of quantum decoherence. This phenomenon occurs when the necessary conditions for a system that is in an entangled quantum state to be maintained disappear.

Perhaps a slightly simpler way of describing it is to see it as a system that stops behaving as dictated by the rules of quantum mechanics when certain conditions are met, beginning to behave from that moment on as dictated by the rules of classical physics. . When does quantum decoherence appear? quantum effects disappear. And, therefore, also the advantages that they bring in the context of quantum computing.

The time it takes for quantum decoherence to appear is closely linked to the quality of the qubits

This phenomenon is very important because it helps us understand why many macroscopic physical systems do not exhibit quantum effects. Or, what is the same, why in our daily environment we cannot observe the counterintuitive effects of quantum mechanics. In any case, what is really relevant is that as the the quality of the qubits of a quantum processor, the longer it takes for quantum decoherence to appear. And, for this reason, we have more time available to carry out operations with it.

The two qubit fabrication technologies that are currently giving us the best results are superconducting qubits, which benefit greatly from recent advances in silicon lithography, and ion traps. However, some research groups also have other very promising technologies on the table that are worth pursuing, such as neutral atoms or the ions implanted in macromolecules.

IBM already has a 127-qubit superconducting quantum processor, and by the end of 2023 it plans to have Condor ready, a promising quantum chip with no less than 1,121 qubits.

We already brush the correction of errors with the tips of our fingers

The other big challenge facing quantum computing right now is error correction. Quantum computers make errors when carrying out some operations, and when this happens, the results they return to us are not correct, of course. The problem is that implementing a quantum error correction protocol it’s not trivial. And furthermore, if they abound, it is essentially impossible to correct them and simultaneously prevent the quantum processor’s efficiency from sinking.

Fortunately, we have good news. As we told you a few days ago, three independent research groups have managed to perfect superconducting qubits that have an accuracy greater than 99%. This simply means that they make mistakes very infrequently, and the good news is that when they are so infrequent it is easier to correct them. Much easier.

When the incidence of errors is less than 1%, it is much easier for quantum fault-correction protocols to carry out their task

In fact, these research groups ensure that when the incidence of errors is less than 1% quantum fault-correction protocols find it much easier to do their job. At the moment they are working with only one or two qubits, and these quantum processors are too simple to solve significant problems, but if they manage to scale this technology to many more qubits, quantum computers could leave behind one of the biggest challenges they currently face. .

As we have just seen, quantum computing is advancing at a breakneck pace. The entry of private companies in this sector you are greatly accelerating your progress, but before we get carried away with enthusiasm, it is important that we keep in mind that there are other challenges that are also crucial to solve.

Two of the most substantial are the need to control qubits more precisely, and also the importance of implementing new quantum algorithms that they are able to help us tackle the problems that we cannot solve with the most powerful classical supercomputers that we have today. Still, the future for quantum computing is hopeful. And, above all, very promising.

Pictures | IBM

Source link

About Admin

Check Also

Android | Why does my cell phone get hot | Solution | problem | Smartphones | Battery | nnda | nnni | SPORT-PLAY

Currently, cell phones have a series of components, such as a battery that lasts two …

What are important areas in quantum research?

What companies are leading in developing quantum computing?

What countries and blocs are leading in developing quantum computing?

What seminal quantum computers/ processors have been developed?

Countries are racing to develop quantum technology through research and investment.

Title:

Content: Ministers' Information Session to Discuss Opportunities for Applying Quantum Technology in Egypt
Thursday ، 18 July 2024 11: 28 AM
Cabinet Information and Decision Support Center
Written by Hind Mukhtar
Leave a comment and read the comments of the readers.
The Information and Decision Support Center at the Council of Ministers held a "Webinar" session entitled "Quantum Revolution: A Journey from Theory to Applicability in Egypt" to discuss the opportunities of applying this technology in Egypt. The session was attended by a distinguished group of experts and specialists in the field of quantum technology.
Opened by dr.
Nahla Al-Sebai, Head of the Central Department of Decision Support, welcomed the attendees and pointed to the importance of the role played by technology and the interest of countries in it, pointing to the global race among the major countries to develop quantum technology, most notably China and the United States, as well as the growing interest in quantum technology in the Middle East, especially in the UAE, Saudi Arabia and Qatar.
For his part, Prof. Dr. Ahmed Younes, Vice Dean of the Faculty of Science for Education and Student Affairs at Alexandria University, the founder and president of the Alexandria Group for Quantum Computing, talked about exploring the possibilities of quantum computing in Egypt, pointing to the efforts made by the Quantum Computing Group at Alexandria University in the field of quantum technology. A role in programming, communication, quantum cryptography, and establishing external relationships.
Prof. Salim Hegazy, Zewail City of Science and Technology, spoke about quantum encryption: ensuring the confidentiality of communications in the era of quantum computers. In this regard, he pointed to the prospects of quantum encryption, which has gained increasing importance in recent times against the backdrop of the growing proliferation of quantum computers. Relying on quantum key distribution protocols that provide superior security for the data of individuals, organizations, and countries.
This was spoken by dr.
Rasha Muntasser, Faculty of Computing and Information, Damanhour University, on quantum image processing and quantum circuits, and their ability to process images faster and with higher quality, as well as that quantum image processing can be used to solve complex problems that cannot be solved using classical image processing, and quantum circuits can be used to solve complex problems that cannot be solved using classical computers, such as data decoding and big data analysis.
Reviewed by dr.
Mohamed Said, Faculty of Science, Alexandria University, explains how to build high-speed quantum computers using superconductors, which require cooling to certain extremely low temperatures in order to operate, which in turn is a major technical and logistical challenge, but despite the challenges, building high-speed quantum computers using superconductors is a promising field, with continued research and development.
For his part, Fr.
Mohamed Othman, Faculty of Science at Damanhour University, on quantum programming and quantum circuits, pointed out the importance of providing an infrastructure that provides the basis for quantum application in addition to building cadres and capabilities to enable them to develop this technology.
Manal Khawassik, Faculty of Computing and Information at Suez Canal University, on quantum encryption and ensuring the confidentiality of communications in the era of quantum computers (software), noting that many traditional encryption algorithms have become vulnerable to penetration with the advent of quantum computers, and therefore quantum encryption is essential to ensure the confidentiality of communications in the era of quantum computers.
This was spoken by dr.
Doaa Shoaib, Faculty of Computer Engineering, Arab Academy for Science and Technology, on quantum machine learning and its importance in accelerating innovation in the digital age, while illustrating how quantum machine learning algorithms can solve complex problems much faster than traditional machine learning algorithms, which can be used in medicine, science and cybersecurity.
For his part, dr.
Dr. Ahmed Abdelkader, Faculty of Science, Alexandria University, pointed to the importance of sensing and quantum measurement and the applications and opportunities of the future, and how quantum sensors can solve problems that cannot be solved using traditional technologies, they are more sensitive sensors and able to detect phenomena much smaller than traditional technologies can achieve.

China is spending $15.3 billion on quantum research, posing opportunities and challenges for other nations.

How much have countries and blocs invested in quantum computing?

What countries and blocs are leading in developing quantum computing?

The transition to a quantum-resistant world will take years, requiring efforts from governments, companies, and researchers.

Title:

Content: FINANCIAL TIMES
Quantum computing.
Is it time to get serious about it?
The old joke that quantum computing is the technology of the future — and will remain so forever — is no longer funny.
The engineering challenges of building a quantum computer powerful enough to fulfill its extraordinary theoretical promise remain enormous.
But early prototypes are evolving rapidly and the future may come faster than expected.
Every data-rich body should start thinking about how to move into a quantum world, as the U.S. National Institute of Standards and Technology is set to release encryption standards for the post-quantum era next year.
Quantum computers, which exploit the frightening behavior of subatomic physics, operate differently from conventional computers, expanding the range of possible solutions to many problems.
Some companies are exploring the potential of hybrid methods, combining the current capabilities of primitive quantum computers and their classical counterparts to improve port logistics, airline schedules, grocery delivery, and TV ad programming, for example.
Alan Baratz, CEO of DWave, an American quantum computing company, said: “Quantum has become real today.
But serious threats to quantum computing may emerge faster than its potential.
Security experts warn of the dangers of QDay, when a quantum computer may be able to hack into the RSA encryption system, widely used by tech companies, banks and governments in their data.
Earlier this month, the heads of the intelligence agency Five Eyes, which included the US, UK, Canada, Australia and New Zealand, warned of the dangers of China ’ s activities in quantum computing, artificial intelligence and synthetic biology.
Ken McCallum, director general of MI5, said: “If you ’ re close to the latest technologies, you may not be interested in geopolitics, but geopolitics is interested in you. ”
Since 1994, when mathematician Peter Shore wrote an algorithm that could run on an as-yet-uninvented quantum computer to hack the RSA system, security experts have been concerned about the world ’ s digital secrets.
It may take another decade (or more) before we have a quantum computer stable enough to run Shore ’ s algorithm, but we can never be sure when that day will come.
However, this is one of those rare technological fields, when the solution anticipates the problem.
Since 2016, the US National Institute has been ordering and evaluating anti-cryptography.
Four approved standards will be released next year, which will then be replaced by other agencies around the world.
According to Ilham Kashefi, chief scientist at the UK ’ s National Centre for Quantum Computing, it would be “very worrying ” if any organisation held sensitive data that was not really prepared for the threat posed by QDay.
Speaking at the Ceftaid summit earlier this month, she said: “You should be very concerned. ”
One concern, Kashefi said, is that adversaries can harness data today and decrypt it later when quantum computers have evolved.
That may not matter if the old data hacked are daily supermarket sales records.
But it will be different if the data contains health records or sensitive personal information.
Switching from one crypto system to another across thousands of organizations will take years to implement.
That ’ s why internet experts are urging companies to start thinking now about how to adopt the NIST crypto standard.
The transition to a quantum resistant world would be a win-win for some cybersecurity companies.
That ’ s what BQ Shield, an Oxford-based startup that recently held an expert conference to examine whether NIST ’ s mathematical drafts can work in the “bad ” hardware world.
The good news, according to Ali al-Qafarani, founder of BQ Shield, is that it can.
He said to me, “Is there a perfect security solution at all?
He never exists.
"But my personal view is that these schemes are very secure, powerful and very difficult to penetrate, whether on a classical or quantum computer."
When I spoke with Shore earlier this year, he predicted that the quantum computer needed to run his algorithm might still be several decades away.
But in the meantime, he composed a poem to explain the quantum puzzle:
"If the computers you are building are quantitative,
Spies from all factions will want it.
All our symbols will fail.
They'll read all of our e-mails.
Until we get quantum cryptography, and scare them with its power. ”
Publish it.
MORE FROM FINANCIAL TIMES

Quantum computing can transform fields like medicine and materials science.

What advantages do quantum computers have over conventional computers?

High costs and limited experts hinder market growth, necessitating more funding and training.

Technical challenges exist in building large-scale quantum computers due to decoherence and error correction issues.

Title:

Content: Google, IBM and China have already achieved quantum supremacy. Now they face another challenge: the correction of errors

Quantum supremacy is no longer at the center of the debate. It was at the end of 2019 because it came to light that the Google team led by John Martinis had managed to achieve it using its Sycamore quantum processor, and no one had done it until that moment. The noise that this news caused when it broke was justified.

But a year later, in December 2020, the group of Chinese researchers led by Jian-Wei Pan published an article in Science showing that I had also reached using its Zuchongzhi superconducting processor. And a year later, in November 2021, IBM followed suit and announced that it had reached this milestone using its 127-qubit Eagle quantum processor.

At this point no one doubts that quantum computers have come a long way. And, furthermore, they have done it in a real record time if we bear in mind that the first solid theoretical proposals arrived in the mid-1990s. And they are already capable of solving a few problems (very few still). in much less time than the most advanced supercomputers we currently have.

In fact, this is what quantum supremacy consists of: in solving in a short period of time, a few minutes or a few hours, a problem in which a classical supercomputer would spend many years. Even several centuries. Or millennia. Right now it is not too important whether these problems have practical applications or not. Whether or not they are relevant. We are still establishing the foundations of quantum computing, and the important thing is to face the challenges that are around the corner.

In search of higher quality qubits

One of the biggest challenges facing researchers involved in the development of quantum computing is delaying the onset of quantum decoherence. This phenomenon occurs when the necessary conditions for a system that is in an entangled quantum state to be maintained disappear.

Perhaps a slightly simpler way of describing it is to see it as a system that stops behaving as dictated by the rules of quantum mechanics when certain conditions are met, beginning to behave from that moment on as dictated by the rules of classical physics. . When does quantum decoherence appear? quantum effects disappear. And, therefore, also the advantages that they bring in the context of quantum computing.

The time it takes for quantum decoherence to appear is closely linked to the quality of the qubits

This phenomenon is very important because it helps us understand why many macroscopic physical systems do not exhibit quantum effects. Or, what is the same, why in our daily environment we cannot observe the counterintuitive effects of quantum mechanics. In any case, what is really relevant is that as the the quality of the qubits of a quantum processor, the longer it takes for quantum decoherence to appear. And, for this reason, we have more time available to carry out operations with it.

The two qubit fabrication technologies that are currently giving us the best results are superconducting qubits, which benefit greatly from recent advances in silicon lithography, and ion traps. However, some research groups also have other very promising technologies on the table that are worth pursuing, such as neutral atoms or the ions implanted in macromolecules.

IBM already has a 127-qubit superconducting quantum processor, and by the end of 2023 it plans to have Condor ready, a promising quantum chip with no less than 1,121 qubits.

We already brush the correction of errors with the tips of our fingers

The other big challenge facing quantum computing right now is error correction. Quantum computers make errors when carrying out some operations, and when this happens, the results they return to us are not correct, of course. The problem is that implementing a quantum error correction protocol it’s not trivial. And furthermore, if they abound, it is essentially impossible to correct them and simultaneously prevent the quantum processor’s efficiency from sinking.

Fortunately, we have good news. As we told you a few days ago, three independent research groups have managed to perfect superconducting qubits that have an accuracy greater than 99%. This simply means that they make mistakes very infrequently, and the good news is that when they are so infrequent it is easier to correct them. Much easier.

When the incidence of errors is less than 1%, it is much easier for quantum fault-correction protocols to carry out their task

In fact, these research groups ensure that when the incidence of errors is less than 1% quantum fault-correction protocols find it much easier to do their job. At the moment they are working with only one or two qubits, and these quantum processors are too simple to solve significant problems, but if they manage to scale this technology to many more qubits, quantum computers could leave behind one of the biggest challenges they currently face. .

As we have just seen, quantum computing is advancing at a breakneck pace. The entry of private companies in this sector you are greatly accelerating your progress, but before we get carried away with enthusiasm, it is important that we keep in mind that there are other challenges that are also crucial to solve.

Two of the most substantial are the need to control qubits more precisely, and also the importance of implementing new quantum algorithms that they are able to help us tackle the problems that we cannot solve with the most powerful classical supercomputers that we have today. Still, the future for quantum computing is hopeful. And, above all, very promising.

Pictures | IBM

Source link

About Admin

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Android | Why does my cell phone get hot | Solution | problem | Smartphones | Battery | nnda | nnni | SPORT-PLAY

Currently, cell phones have a series of components, such as a battery that lasts two …

What are important areas in quantum research?

What are the challenges in quantum computing research?

sensitivity to environment
high error rates

Research groups have achieved superconducting qubits with over 99% accuracy.

Title:

Content: Google, IBM and China have already achieved quantum supremacy. Now they face another challenge: the correction of errors

Quantum supremacy is no longer at the center of the debate. It was at the end of 2019 because it came to light that the Google team led by John Martinis had managed to achieve it using its Sycamore quantum processor, and no one had done it until that moment. The noise that this news caused when it broke was justified.

But a year later, in December 2020, the group of Chinese researchers led by Jian-Wei Pan published an article in Science showing that I had also reached using its Zuchongzhi superconducting processor. And a year later, in November 2021, IBM followed suit and announced that it had reached this milestone using its 127-qubit Eagle quantum processor.

At this point no one doubts that quantum computers have come a long way. And, furthermore, they have done it in a real record time if we bear in mind that the first solid theoretical proposals arrived in the mid-1990s. And they are already capable of solving a few problems (very few still). in much less time than the most advanced supercomputers we currently have.

In fact, this is what quantum supremacy consists of: in solving in a short period of time, a few minutes or a few hours, a problem in which a classical supercomputer would spend many years. Even several centuries. Or millennia. Right now it is not too important whether these problems have practical applications or not. Whether or not they are relevant. We are still establishing the foundations of quantum computing, and the important thing is to face the challenges that are around the corner.

In search of higher quality qubits

One of the biggest challenges facing researchers involved in the development of quantum computing is delaying the onset of quantum decoherence. This phenomenon occurs when the necessary conditions for a system that is in an entangled quantum state to be maintained disappear.

Perhaps a slightly simpler way of describing it is to see it as a system that stops behaving as dictated by the rules of quantum mechanics when certain conditions are met, beginning to behave from that moment on as dictated by the rules of classical physics. . When does quantum decoherence appear? quantum effects disappear. And, therefore, also the advantages that they bring in the context of quantum computing.

The time it takes for quantum decoherence to appear is closely linked to the quality of the qubits

This phenomenon is very important because it helps us understand why many macroscopic physical systems do not exhibit quantum effects. Or, what is the same, why in our daily environment we cannot observe the counterintuitive effects of quantum mechanics. In any case, what is really relevant is that as the the quality of the qubits of a quantum processor, the longer it takes for quantum decoherence to appear. And, for this reason, we have more time available to carry out operations with it.

The two qubit fabrication technologies that are currently giving us the best results are superconducting qubits, which benefit greatly from recent advances in silicon lithography, and ion traps. However, some research groups also have other very promising technologies on the table that are worth pursuing, such as neutral atoms or the ions implanted in macromolecules.

IBM already has a 127-qubit superconducting quantum processor, and by the end of 2023 it plans to have Condor ready, a promising quantum chip with no less than 1,121 qubits.

We already brush the correction of errors with the tips of our fingers

The other big challenge facing quantum computing right now is error correction. Quantum computers make errors when carrying out some operations, and when this happens, the results they return to us are not correct, of course. The problem is that implementing a quantum error correction protocol it’s not trivial. And furthermore, if they abound, it is essentially impossible to correct them and simultaneously prevent the quantum processor’s efficiency from sinking.

Fortunately, we have good news. As we told you a few days ago, three independent research groups have managed to perfect superconducting qubits that have an accuracy greater than 99%. This simply means that they make mistakes very infrequently, and the good news is that when they are so infrequent it is easier to correct them. Much easier.

When the incidence of errors is less than 1%, it is much easier for quantum fault-correction protocols to carry out their task

In fact, these research groups ensure that when the incidence of errors is less than 1% quantum fault-correction protocols find it much easier to do their job. At the moment they are working with only one or two qubits, and these quantum processors are too simple to solve significant problems, but if they manage to scale this technology to many more qubits, quantum computers could leave behind one of the biggest challenges they currently face. .

As we have just seen, quantum computing is advancing at a breakneck pace. The entry of private companies in this sector you are greatly accelerating your progress, but before we get carried away with enthusiasm, it is important that we keep in mind that there are other challenges that are also crucial to solve.

Two of the most substantial are the need to control qubits more precisely, and also the importance of implementing new quantum algorithms that they are able to help us tackle the problems that we cannot solve with the most powerful classical supercomputers that we have today. Still, the future for quantum computing is hopeful. And, above all, very promising.

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What are important areas in quantum research?

implementations of quantum processors
new types of qubits

IBM plans to release a 1,121-qubit quantum chip called Condor by 2023.

Title:

Content: Google, IBM and China have already achieved quantum supremacy. Now they face another challenge: the correction of errors

Quantum supremacy is no longer at the center of the debate. It was at the end of 2019 because it came to light that the Google team led by John Martinis had managed to achieve it using its Sycamore quantum processor, and no one had done it until that moment. The noise that this news caused when it broke was justified.

But a year later, in December 2020, the group of Chinese researchers led by Jian-Wei Pan published an article in Science showing that I had also reached using its Zuchongzhi superconducting processor. And a year later, in November 2021, IBM followed suit and announced that it had reached this milestone using its 127-qubit Eagle quantum processor.

At this point no one doubts that quantum computers have come a long way. And, furthermore, they have done it in a real record time if we bear in mind that the first solid theoretical proposals arrived in the mid-1990s. And they are already capable of solving a few problems (very few still). in much less time than the most advanced supercomputers we currently have.

In fact, this is what quantum supremacy consists of: in solving in a short period of time, a few minutes or a few hours, a problem in which a classical supercomputer would spend many years. Even several centuries. Or millennia. Right now it is not too important whether these problems have practical applications or not. Whether or not they are relevant. We are still establishing the foundations of quantum computing, and the important thing is to face the challenges that are around the corner.

In search of higher quality qubits

One of the biggest challenges facing researchers involved in the development of quantum computing is delaying the onset of quantum decoherence. This phenomenon occurs when the necessary conditions for a system that is in an entangled quantum state to be maintained disappear.

Perhaps a slightly simpler way of describing it is to see it as a system that stops behaving as dictated by the rules of quantum mechanics when certain conditions are met, beginning to behave from that moment on as dictated by the rules of classical physics. . When does quantum decoherence appear? quantum effects disappear. And, therefore, also the advantages that they bring in the context of quantum computing.

The time it takes for quantum decoherence to appear is closely linked to the quality of the qubits

This phenomenon is very important because it helps us understand why many macroscopic physical systems do not exhibit quantum effects. Or, what is the same, why in our daily environment we cannot observe the counterintuitive effects of quantum mechanics. In any case, what is really relevant is that as the the quality of the qubits of a quantum processor, the longer it takes for quantum decoherence to appear. And, for this reason, we have more time available to carry out operations with it.

The two qubit fabrication technologies that are currently giving us the best results are superconducting qubits, which benefit greatly from recent advances in silicon lithography, and ion traps. However, some research groups also have other very promising technologies on the table that are worth pursuing, such as neutral atoms or the ions implanted in macromolecules.

IBM already has a 127-qubit superconducting quantum processor, and by the end of 2023 it plans to have Condor ready, a promising quantum chip with no less than 1,121 qubits.

We already brush the correction of errors with the tips of our fingers

The other big challenge facing quantum computing right now is error correction. Quantum computers make errors when carrying out some operations, and when this happens, the results they return to us are not correct, of course. The problem is that implementing a quantum error correction protocol it’s not trivial. And furthermore, if they abound, it is essentially impossible to correct them and simultaneously prevent the quantum processor’s efficiency from sinking.

Fortunately, we have good news. As we told you a few days ago, three independent research groups have managed to perfect superconducting qubits that have an accuracy greater than 99%. This simply means that they make mistakes very infrequently, and the good news is that when they are so infrequent it is easier to correct them. Much easier.

When the incidence of errors is less than 1%, it is much easier for quantum fault-correction protocols to carry out their task

In fact, these research groups ensure that when the incidence of errors is less than 1% quantum fault-correction protocols find it much easier to do their job. At the moment they are working with only one or two qubits, and these quantum processors are too simple to solve significant problems, but if they manage to scale this technology to many more qubits, quantum computers could leave behind one of the biggest challenges they currently face. .

As we have just seen, quantum computing is advancing at a breakneck pace. The entry of private companies in this sector you are greatly accelerating your progress, but before we get carried away with enthusiasm, it is important that we keep in mind that there are other challenges that are also crucial to solve.

Two of the most substantial are the need to control qubits more precisely, and also the importance of implementing new quantum algorithms that they are able to help us tackle the problems that we cannot solve with the most powerful classical supercomputers that we have today. Still, the future for quantum computing is hopeful. And, above all, very promising.

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What are important areas in quantum research?

What companies are leading in developing quantum computing?

What seminal quantum computers/ processors have been developed?

Quantum computing poses significant security risks by potentially cracking current encryption standards.

What are the potential threats of quantum computers?

threatening national security through breaking encryption

The US National Institute of Standards will release four anti-cryptography standards to address security concerns.

Title:

Content: FINANCIAL TIMES
Quantum computing.
Is it time to get serious about it?
The old joke that quantum computing is the technology of the future — and will remain so forever — is no longer funny.
The engineering challenges of building a quantum computer powerful enough to fulfill its extraordinary theoretical promise remain enormous.
But early prototypes are evolving rapidly and the future may come faster than expected.
Every data-rich body should start thinking about how to move into a quantum world, as the U.S. National Institute of Standards and Technology is set to release encryption standards for the post-quantum era next year.
Quantum computers, which exploit the frightening behavior of subatomic physics, operate differently from conventional computers, expanding the range of possible solutions to many problems.
Some companies are exploring the potential of hybrid methods, combining the current capabilities of primitive quantum computers and their classical counterparts to improve port logistics, airline schedules, grocery delivery, and TV ad programming, for example.
Alan Baratz, CEO of DWave, an American quantum computing company, said: “Quantum has become real today.
But serious threats to quantum computing may emerge faster than its potential.
Security experts warn of the dangers of QDay, when a quantum computer may be able to hack into the RSA encryption system, widely used by tech companies, banks and governments in their data.
Earlier this month, the heads of the intelligence agency Five Eyes, which included the US, UK, Canada, Australia and New Zealand, warned of the dangers of China ’ s activities in quantum computing, artificial intelligence and synthetic biology.
Ken McCallum, director general of MI5, said: “If you ’ re close to the latest technologies, you may not be interested in geopolitics, but geopolitics is interested in you. ”
Since 1994, when mathematician Peter Shore wrote an algorithm that could run on an as-yet-uninvented quantum computer to hack the RSA system, security experts have been concerned about the world ’ s digital secrets.
It may take another decade (or more) before we have a quantum computer stable enough to run Shore ’ s algorithm, but we can never be sure when that day will come.
However, this is one of those rare technological fields, when the solution anticipates the problem.
Since 2016, the US National Institute has been ordering and evaluating anti-cryptography.
Four approved standards will be released next year, which will then be replaced by other agencies around the world.
According to Ilham Kashefi, chief scientist at the UK ’ s National Centre for Quantum Computing, it would be “very worrying ” if any organisation held sensitive data that was not really prepared for the threat posed by QDay.
Speaking at the Ceftaid summit earlier this month, she said: “You should be very concerned. ”
One concern, Kashefi said, is that adversaries can harness data today and decrypt it later when quantum computers have evolved.
That may not matter if the old data hacked are daily supermarket sales records.
But it will be different if the data contains health records or sensitive personal information.
Switching from one crypto system to another across thousands of organizations will take years to implement.
That ’ s why internet experts are urging companies to start thinking now about how to adopt the NIST crypto standard.
The transition to a quantum resistant world would be a win-win for some cybersecurity companies.
That ’ s what BQ Shield, an Oxford-based startup that recently held an expert conference to examine whether NIST ’ s mathematical drafts can work in the “bad ” hardware world.
The good news, according to Ali al-Qafarani, founder of BQ Shield, is that it can.
He said to me, “Is there a perfect security solution at all?
He never exists.
"But my personal view is that these schemes are very secure, powerful and very difficult to penetrate, whether on a classical or quantum computer."
When I spoke with Shore earlier this year, he predicted that the quantum computer needed to run his algorithm might still be several decades away.
But in the meantime, he composed a poem to explain the quantum puzzle:
"If the computers you are building are quantitative,
Spies from all factions will want it.
All our symbols will fail.
They'll read all of our e-mails.
Until we get quantum cryptography, and scare them with its power. ”
Publish it.
MORE FROM FINANCIAL TIMES

IBM plans to deliver classical and quantum computing software in 2023, integrating quantum with classical systems.

Title:

Content: We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!

IBM today updated its existing quantum computing roadmap, foreseeing a 4,000-plus qubit machine by 2025. Included in its plan is orchestration for more potent combinations of classical and quantum resources.

Such combinations, which comprise what may be called “quantum-centric supercomputing,” will place the new quantum crew more firmly in the world of high-performance computing, where technologists tackle some of humankind’s most pressing challenges.

IBM said it expects to deliver in 2023 software tooling that allows developers to run jobs that help them tap into both quantum and classical computing resources. IBM said it sees no letup in the steady advance of quantum scaling.

The company uses the term “Serverless Quantum” to describe an architecture that deploys infrastructure that assigns work to processors of either the classical or quantum variety.

“Serverless Quantum is part of getting the world ready for quantum-centric supercomputing,” according to Jerry Chow, IBM fellow and director of quantum infrastructure. He likened the effect to today’s elastic computing methods, “in the sense that you have computing resources on demand.”

Speaking with VentureBeat, Chow said the idea is that parts of problems can be handled by either classical CPUs, GPUs or non-classical QPUs, or quantum processing units. This is enabled by a common service layer that efficiently orchestrates, or arranges, workload assignments.

Better hardware and software methods for interchip communications is also important in this quantum quest, Chow indicated as he discussed future plans for quantum “circuit knitting.”

“That’s where you can take larger problems,” he said, “and find ways to break them down into small-order quantum circuits, and knit or take all the results and put them back together.”

The problems imagined are manifold, and some appear especially pressing.

Simulating nature with quantum systems, for example, is seen as a path to efficiencies that could drive substantial environmental, social and governance improvements.

Also, world governments are now seen in a race to succeed in quantum computing, as quantum systems could crack long standing cryptographic coding practices. Viewers suggest adversary governments are gathering encrypted data now, to process when quantum breakthroughs occur.

Sticking to their circuit knitting

IBM has indicated Serverless Quantum capabilities in its Qiskit Runtime software, including circuit knitting, will support distribution of parallelizable work in 2023. As well, improvements in error mitigation and suppression are expected to improve quality of quantum results, the company said. These are due for Qisket as part of the roadmap in 2024 and 2025.

The bird is the word when it comes to code names for IBM quantum processors. Last year, IBM released a 127-qubit Eagle processor to be followed this year by Osprey, a 433-qubit unit. An increasingly powerful flock of IBM qubit processors will follow. IBM’s roadmap anticipates: a 133-qubit Heron processor to appear in 2023; a 462-qubit Flamingo processor in 2024; and the 4,158-qubit Kookaburra device in 2025.

While Heron’s qubit count may look like a step back, it’s important to IBM’s overall plans to knit clusters of qubit processors together. That is vital to IBM’s assertions of continued scalability.

“What’s exciting about Heron is that it is defined in such a way that they’re going to be classically controllable [via] the same control hardware infrastructure. So what that means is effectively, we’re going to have quantum computing with classical communication and classical parallelization,” said Chow, who is expected to further detail IBM’s  quantum roadmap this week at the Inside Quantum Technology Conference 2022 in San Diego, Calif.

Quantum timelines

Timelines for quantum computing have been closely watched since qubits first emerged from the lab as part of physics experiments. A common joke holds that today, just as at the turn of the century, “quantum computing is five to ten years away.”

But IBM’s timelines for quantum computing have usually been realistic, according to Brian Hopkins, analyst, Forrester Research.

“IBM has the most detailed roadmap of any of the full stack quantum computing vendors I cover,” he told VentureBeat via email. “Furthermore, they are establishing credibility with the market by completing roadmap milestones per their plan.”

That gives Forrester’s Hopkins confidence in IBM’s 4,000-plus qubit projections, although he emphasizes that IBM is still refraining from any meaningful prediction on when its computers and software will be able to demonstrate advantage – in the form of a positive ROI — for any problem domain.

Hopkins goes on to say this is valuable, in that the company will have greater credibility when it does prove such an advantage.

“Even when we hit advantage for one problem area, it will still be many years before quantum computers are scalable and powerful enough to be applicable to the many areas where we see potential,” he said.

We love qubits – but….

Skepticism of quantum computing timelines is not likely to abate, but elements of IBM’s new timeline suggest the technology may be moving forward faster than some skeptics thought.

While “qubit counts” will get the headlines here and elsewhere, the technology advances that surround qubit research bear closer watching, as do hybrids that match classical and quantum computing to different parts of problems.

“We love qubits – but the exact number is not as important as [the fact] that we have defined the path for the technology to keep scaling,” said Chow.

VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Learn more about membership.

Author
Topics

What are important areas in quantum research?

What companies are leading in developing quantum computing?

Improved interchip communications is crucial for quantum computing, with companies like IBM working on it.

What are important areas in quantum research?

What companies are leading in developing quantum computing?

IBM's Qiskit Runtime will support circuit knitting in 2023 to enhance quantum and classical computing integration.

What companies are leading in developing quantum computing?

Improvements in error mitigation are expected in 2024 and 2025 to aid integration with classical systems.

What are the challenges in quantum computing research?

IBM's quantum roadmap includes a 133-qubit processor in 2023 and a 4,158-qubit device in 2025.

What are important areas in quantum research?

What companies are leading in developing quantum computing?

Forrester Research finds IBM's quantum computing timelines to be realistic.

IBM plans to deliver a 4,000-plus qubit machine by 2025.

What companies are leading in developing quantum computing?

The company expects to deliver software tooling in 2023 to enhance quantum computing system performance.

What are important areas in quantum research?

IBM's "Serverless Quantum" architecture assigns work to processors, key to evaluating quantum computing performance.

What are important areas in quantum research?

What companies are leading in developing quantum computing?

Quantum-centric supercomputing combines classical and quantum resources to achieve quantum advantage.

Standard performance metrics for quantum computing systems include qubit count, quantum volume, and quantum error correction.

Title:

Content: State of the Art Quantum Chemistry in 2022

Quantum chemistry is very hard. The best quantum computing chemistry seems to be at the level of 12 qubits / 12 atoms. Supercomputer simulations can handle 20 qubits and 20 atoms simulation. There are early papers that suggest classical supercomputers can get to 100 atoms and 1000 qubit for some types of simulation. Quantum computers are pushing up to 35 high fidelity trapped ion and there is work to achieve superior error mitigation and error suppression and eventual error correction with quantum computers. Breakthroughs in algorithms for supercomputers and for quantum systems are continuing and there are many competitors with different quantum technologies looking to make breakthroughs to scale to thousands and millions of qubits and to develop superior and more efficient error management.

There was a paper in 2022 where quantum simulations on the Sunway supercomputer was performed. At the current stage, classical simulation of quantum computation is crucial for the study of quantum algorithms and quantum computing architectures, especially for heuristic quantum algorithms as VQE. The largest VQE experiment performed on a quantum computer up to date has used 12 qubits. An industrially relevant quantum computational advantage in quantum chemistry is expected to appear at around 38 ≤ N ≤ 68 qubits (under the assumption of error-corrected qubits), which is related to an electronic structure problem including
19 ≤ N ≤ 34 electrons.

Compared to RQC (Random Quantum Circuits), VQE (variational quantum eigensolver) is much more demanding for both quantum and classical computers, for example, the number of CNOT gates involved in a typical quantum computational chemistry simulation quickly goes beyond 1 million with commonly used physically motivated ansatz such as unitary coupled-cluster (UCC). Moreover, the parametric quantum circuit has to be executed many times as is typical for variational algorithms. These effects limit most of the current investigations of VQE using classical computers to very small problems (less than 20 qubits). Unleashing the Julia programming language on Sunway architectures and running it efficiently over 20 million cores is also an extremely challenging task. The 2022 work has set the standard for large-scale classical simulation of quantum computational chemistry, and paves the way for benchmarking VQE applications on near-term noisy quantum computers.

Q2 Chemistry is suitable for large-scale simulation of quantum computational chemistry, based on a combination of the Density Matrix Embedding Theory and the Matrix Product States to reduce the exponentially memory scaling against the system size; a customized three-level parallelization scheme has been implemented according to the nature of the physical problem and the many-core architecture; Julia is used as the primary language which both makes programming easier and enables cutting edge performance close to native C or Fortran; Real chemical systems have been studied to demonstrate the power of Q2Chemistry in computational quantification of proteinligand interactions. To the best of their knowledge, this is the first reported quantum computational chemistry simulation
calculation for real chemical system with as many as 100 atoms and 1000 qubits using DMET-MPS-VQE (and 200 qubits using MPS-VQE), and scales to around 20 million cores. This paves the way for benchmarking with near term
VQE experiments on quantum computers with around 100 qubits.

A new study shows that for problems of real-world interest, such as calculating the energy states of a cluster of atoms, quantum simulations are not yet more accurate than those of classical computers.

The study results show how close quantum computers are to becoming useful atomic and molecular simulation tools for chemists and materials scientists.

Garnet Chan of the California Institute of Technology and his co-workers performed simulations of a molecule and a material using a 53-qubit Google processor called Weber, based on Sycamore.

The team selected two problems of current interest, without any consideration of how well suited they might be to a quantum circuit. The first involves calculating the energy states of an 8-atom cluster of iron (Fe) and sulfur (S) found in the catalytic core of the enzyme nitrogenase. This enzyme breaks strong bonds in nitrogen molecules as the first step in an important biological process called nitrogen fixation. Understanding the chemistry of this process could be valuable for developing artificial nitrogen-fixing catalysts for the chemical industry.

One of the key obstacles to accurate quantum simulations is noise—random errors in both the switching of the “gates” that perform quantum logic operations and in the reading of their output states. These errors accumulate and restrict the number of gate operations a computation can enact before the noise dominates. The researchers found that simulations with more than 300 gates were overwhelmed by noise. But the more complex the system, the more gates are needed. The Fe-S cluster, for example, has long-range interactions between spins; to be represented accurately, such interactions require many gates.

The simulations provided predictions for the energy spectra of the Fe-S cluster and the heat capacity of 𝛼-RuCl3 reasonably well—but only if the simulated systems were not too big. For 𝛼-RuCl3 the team could only obtain meaningful results for a very small 6-atom chunk of the crystal lattice; if they increased the size to just 10 atoms, the noise overwhelmed the output. And the constraints on gate operations meant that only about one-fifth of Weber’s quantum resources could be used for the calculation.

State of the Art Quantum Chemistry on IonQ Trapped Ion

Quantum computation has attracted significant attention for its potential to solve certain computational problems more efficiently than with classical computers, especially since IBM launched the first cloud accessible quantum computer and Google demonstrated quantum advantage. One of its most promising applications is to solve electronic structure problems efficiently: to illustrate, consider that for a problem containing N spin orbitals, the number of classical bits required to represent the wave function scales combinatorially with N, while on a quantum
computer only N qubits are needed. The exponential advantage offered by quantum computers has motivated a great deal of research in developing quantum algorithms to solve the electronic structure problem.

The variational quantum eigensolver (VQE) algorithm is designed specifically for current near-term intermediate scale quantum (NISQ) computers. VQE estimates the ground state of a system by implementing a shallow parameterized circuit, which is classically optimized to variationally minimize the energy expectation value. The VQE algorithm allows the user to select the form of the parameterized circuit.

There is a research paper from $2 billion Trapped Ion quantum computer company IonQ. They got a new record with 12 qubits and 72 parameters. If I am not mistaken the Google work with 10 atoms and qubits was surpassed by this IonQ work.

IonQ is currently testing a 35 trapped ion qubit system. Trapped ion should theoretically be able to achieve physically perfect qubits. However, there are other sources of error in the whole system.

The Sunway supercomputer work on classical machines simulating atoms and the IonQ and other quantum systems will continue to push ahead and race to simulating larger and larger physical atomic and molecular systems.

Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers

Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on near-term quantum computers. A critical challenge for VQE in practice is that one needs to strike a balance between the expressivity of the VQE ansatz versus the number of quantum gates required to implement the ansatz, given the reality of noisy quantum operations on near-term quantum computers. In this work, we consider an orbital-optimized pair-correlated approximation to the unitary coupled cluster with singles and doubles (uCCSD) ansatz and report a highly efficient quantum circuit implementation for trapped-ion architectures. We show that orbital optimization can recover significant additional electron correlation energy without sacrificing efficiency through measurements of low-order reduced density matrices (RDMs). In the dissociation of small molecules, the method gives qualitatively accurate predictions in the strongly-correlated regime when running on noise-free quantum simulators. On IonQ’s Harmony and Aria trapped-ion quantum computers, we run end-to-end VQE algorithms with up to 12 qubits and 72 variational parameters – the largest full VQE simulation with a correlated wave function on quantum hardware. We find that even without error mitigation techniques, the predicted relative energies across different molecular geometries are in excellentagreement with noise-free simulators.

Is there evidence of exponential quantum Advantage in Quantum chemistry.

Abstract
The idea to use quantum mechanical devices to simulate other quantum systems is commonly ascribed to Feynman. Since the original suggestion, concrete proposals have appeared for simulating molecular and materials chemistry through quantum computation, as a potential “killer application”. Indications of potential exponential quantum advantage in artificial tasks have increased interest in this application, thus, it is critical to understand the basis for potential exponential quantum advantage in quantum chemistry. Here we gather the evidence for this case in the most common task in quantum chemistry, namely, ground-state energy estimation. We conclude that evidence for such an exponential advantage across chemical space has yet to be found. While quantum computers may still prove useful for quantum chemistry, it may be prudent to assume exponential speedups are not generically available for this problem.

Researchers from Berkeley and elsewhere examined the case for the exponential quantum advantage (EQA) hypothesis for the central task of ground-state determination in quantum chemistry. The specific version of EQA that they examined required quantum state preparation to be exponentially easy compared to classical heuristics, and for classical heuristics to be exponentially hard. Their numerical simulations highlight that heuristics are necessary to achieve efficient quantum ground-state preparation. At the same time, they do not find evidence for the exponential scaling of classical heuristics in a set of relevant problems. The latter suggests that quantum state preparation can be made efficient for the same problems. However, as EQA is based on the ratio of costs, this does not lead to EQA.

Numerical calculations are not mathematical proof of asymptotics with respect to size and error, nor can they exclude EQA in specific problems. However, their results suggest that without new and fundamental insights, there may be a lack of generic EQA in this task. Identifying a relevant quantum chemical system with strong evidence of EQA remains an open question. They did not consider tasks other than ground-state determination, nor do they rule out polynomial speedups. Depending on the precise form, polynomial quantum speedups could be associated with useful quantum advantage, as even a polynomial classical algorithm does not mean that solutions can be obtained in a practical time. Both aspects may prove important in the further development of quantum algorithms in quantum chemistry.

What are important areas in quantum research?

Classical supercomputers can simulate 20 qubits, whereas quantum computers can handle 12 qubits for chemistry simulations.

Quantum advantage is expected at 38-68 qubits, a key benchmark for evaluating quantum computing systems.

Variational quantum eigensolvers require balancing expressivity and gate count.

IonQ set a record with 12 qubits and 72 parameters, demonstrating quantum computing's potential.

What are important areas in quantum research?

What companies are leading in developing quantum computing?

Google achieved quantum supremacy in 2019, a milestone in quantum computing development.

What companies are leading in developing quantum computing?

What have been the landmark achievements in quantum computing?

Google's Sycamore quantum supremacy experiment

IBM launched a quantum computing program for students in 2020 to develop the next generation of experts.

What companies are leading in developing quantum computing?

Honeywell achieved a quantum computer record with a quantum volume of 512.

What are important areas in quantum research?

The quantum computing market is dominated by IBM, Google, Microsoft, and Honeywell.

What countries and blocs are leading in developing quantum computing?

The quantum computing market is forecast to reach USD 234.06 billion by 2032.

Quantum computers use qubits that exist in 0, 1, or both states simultaneously.

Title:

Content: The quantum leap: Quantum computing breakthroughs to watch

The classical computer has been the bedrock of computing for over 50 years. That’s going to change soon. quantum computing, which was once a concept limited to fringe scientific papers, is now becoming a mainstream topic.

We’re seeing significant breakthroughs in the headlines which are stoking the flames of conjecture. The truth is, that this technology will bring with it much more than hype and opportunities to breathe life into sci-fi creations. In this article, we’re going to dive into some of the milestones of quantum computing, future goals and, of course, the challenges that we still have to overcome.

The Quantum Paradigm

Classical computers began as room-sized machines. Computer scientists from the 1950s would be completely flummoxed to see the powerful gaming or AI training rigs of today. That said, computers process information using bits -- either a 0 or a 1. quantum computers break the mold by using quantum bits, or qubits. They’re built upon the principles of quantum mechanics, which allow us to conceptualize that a qubit can exist in a state of 0, 1, or both at the same time (this is known as superposition in quantum theory).

As a result of this state, quantum computers are able to measure vast quantities of possibilities at the same time and exponentially increase their computing power compared to classical machines.

Significant Milestones in Quantum Computing

As with everything groundbreaking, quantum computing has been the subject of much fanfare, which has caused tangible advancements to slip through the cracks. This includes:

The Rise of Quantum Supremacy

The idea of "quantum supremacy" once seemed rather farfetched. That was until Google demonstrated with its Sycamore processor exactly what quantum machines could do. Sycamore was given a calculation that would have taken a classical computer 10,000 years to complete. It completed it in 200 seconds. quantum supremacy is now a modern reality and not just a hypothesis.

Innovations in Quantum Error-Correction

The inherently fragile nature of qubits means they're prone to errors from even the smallest environmental interference. Over the years, researchers have been laser-focused on tackling this problem, giving rise to various quantum error-correction protocols. Among the most prominent are the "surface code" and "cat code" methods, which deploy specialized qubit arrangements and extra layers of computational checks to detect and correct errors in real time.

Development of Quantum Algorithms

Unsurprisingly, with the growth of quantum processors has come an increase in quantum algorithms being developed. Algorithms like Shor's (for integer factorization) and Grover's (for database searching) have proven quantum computing's superiority over classical methods.

quantum algorithms have more granular applications as well, especially for devs and larger organizations. They could drastically reduce the time it takes to render documents in a React PDF viewer, particularly those that are large or contain complex elements like high-resolution images or intricate designs. Imagine one day sending petabytes of multimedia files without delay.

In a fraction of a second, teams could edit, compare, and merge files, all on their native platform, without having to wait until all the documentation is ready for analysis or sending.

This is just a microcosm of how massive quality-of-life (QoL) improvements from quantum computing will actually be. Aside from document readers, artists will also be able to render entire films in a matter of seconds, as there will be no resolution too high to be processed instantly. The same goes for 4K video calls without lags, VR gaming, and so much more.

Quantum Potential

What makes quantum computers so powerful is their ability to solve the problems that have simply been out of reach for classical machines, This includes:

  • Cryptography: Certain mathematical problems (like factorizing large prime numbers) are difficult for modern classical computers. quantum computers, however, are able to solve these problems much faster due to their parallel processing capabilities. Modern digital security rests on the assumption that these problems prevent computers from solving them quickly, and so quantum computing will be incredibly disruptive to modern cryptography. "Revolutionary" won’t even begin to define it.
  • Drug Discovery and Material Science: Another difficult task for classical computers is simulating and understanding complex molecular structures. With quantum computing, molecular simulations will be turbo-charged and lead to important breakthroughs in medicine and material science at a blistering pace.
  • Optimization Challenges: Be it traffic management, financial modeling, or supply chain optimization, problems involving multiple variables and constraints could benefit immensely from quantum computing's prowess, resulting in more efficient and optimal solutions.
  • Machine Learning and Big Data: Data is the new oil. And companies everywhere are drilling. quantum computers can process and analyze vast datasets swiftly and can send machine learning models to the stratosphere. This will lead to more accurate predictions and insights.

Navigating Quantum Challenges

The dream of a large-scale, fault-tolerant quantum computer is still just a dream for now, due to certain technical hurdles.

The first is maintaining the quantum state of qubits over extended durations. The term for this is ‘quantum coherence’, and it is not an easy task. External disturbances such as cosmic rays or nearby electronic devices can disrupt its state and prevent long computations.

Of course, one must also ponder about scalability. Scaling from a few qubits to thousands or even millions which are needed for more complex tasks will need further innovations in quantum error correction (and system architecture for that matter).

For now, computer scientists have gotten around this by using extremely low temperatures to maintain qubit stability, but this is not something companies or organizations without vast resources can accomplish.

Another aspect to consider is the software ecosystem. quantum computers will need their own kind of software, along with unique programming languages and tools. This will take years and possibly decades of collaboration between physicists, computer scientists, and industry stakeholders before a barebones system is achieved. QApplications in Diverse Domains

quantum computing is going to massively change many sectors. That said, some stand to benefit sooner than the rest:

  • Financial Modeling: The financial sector is an obvious winner when it comes to having more computing power -- the sector is already using AI to its advantage. quantum algorithms will allow traders and analysts to evaluate vast numbers of scenarios extremely quickly, giving those companies with quantum machines an extraordinary advantage.
  • Climate Modeling: Predicting the Earth’s climate involves accounting for a ton of variables and how they interact with each other. quantum computers will allow more accurate climate models and better insights into climate change which will hopefully help us develop better strategies for mitigating it.
  • Logistics and Supply Chain: Efficient solutions to the traveling salesman problem -- a challenge that involves finding the shortest possible route through multiple cities -- could revolutionize logistics, saving time and reducing costs for businesses worldwide.

The Interplay Between Quantum and Classical Systems

While you may think that quantum computers will eventually replace classical computers, the truth is the future more likely has them together in a symbiotic relationship. This is because quantum machines will be used for tasks they’re better at, namely more advanced computational needs, while classical computers will be kept for more routine tasks and for user interfaces. An example of this already exists in cloud-based quantum computing platforms -- where users can send a certain task to a quantum machine and receive the result through their own classical machine.

Looking Towards the Quantum Future

The next decade promises a slew of breakthroughs. Today’s quantum computers are being compared to the classical computers of the 1950s, which is probably accurate considering they’re still in their nascent stage of development and haven’t even begun realizing their full potential.

quantum computing promises an increase in computation power for sure, but it offers much more than that. It promises a massive shift across many industries -- from healthcare to finance, energy and transportation. We live in exciting times as we stand on the precipice of a new era in technology, one that previously only belonged to the pages of science fiction.

Image credit: plotplot/Shutterstock

Lee Li is a project manager and B2B copywriter with a decade of experience in the Chinese fintech startup space as a PM for TaoBao, MeitTuan, and DouYin (now TikTok).

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IBM today updated its existing quantum computing roadmap, foreseeing a 4,000-plus qubit machine by 2025. Included in its plan is orchestration for more potent combinations of classical and quantum resources.

Such combinations, which comprise what may be called “quantum-centric supercomputing,” will place the new quantum crew more firmly in the world of high-performance computing, where technologists tackle some of humankind’s most pressing challenges.

IBM said it expects to deliver in 2023 software tooling that allows developers to run jobs that help them tap into both quantum and classical computing resources. IBM said it sees no letup in the steady advance of quantum scaling.

The company uses the term “Serverless Quantum” to describe an architecture that deploys infrastructure that assigns work to processors of either the classical or quantum variety.

“Serverless Quantum is part of getting the world ready for quantum-centric supercomputing,” according to Jerry Chow, IBM fellow and director of quantum infrastructure. He likened the effect to today’s elastic computing methods, “in the sense that you have computing resources on demand.”

Speaking with VentureBeat, Chow said the idea is that parts of problems can be handled by either classical CPUs, GPUs or non-classical QPUs, or quantum processing units. This is enabled by a common service layer that efficiently orchestrates, or arranges, workload assignments.

Better hardware and software methods for interchip communications is also important in this quantum quest, Chow indicated as he discussed future plans for quantum “circuit knitting.”

“That’s where you can take larger problems,” he said, “and find ways to break them down into small-order quantum circuits, and knit or take all the results and put them back together.”

The problems imagined are manifold, and some appear especially pressing.

Simulating nature with quantum systems, for example, is seen as a path to efficiencies that could drive substantial environmental, social and governance improvements.

Also, world governments are now seen in a race to succeed in quantum computing, as quantum systems could crack long standing cryptographic coding practices. Viewers suggest adversary governments are gathering encrypted data now, to process when quantum breakthroughs occur.

Sticking to their circuit knitting

IBM has indicated Serverless Quantum capabilities in its Qiskit Runtime software, including circuit knitting, will support distribution of parallelizable work in 2023. As well, improvements in error mitigation and suppression are expected to improve quality of quantum results, the company said. These are due for Qisket as part of the roadmap in 2024 and 2025.

The bird is the word when it comes to code names for IBM quantum processors. Last year, IBM released a 127-qubit Eagle processor to be followed this year by Osprey, a 433-qubit unit. An increasingly powerful flock of IBM qubit processors will follow. IBM’s roadmap anticipates: a 133-qubit Heron processor to appear in 2023; a 462-qubit Flamingo processor in 2024; and the 4,158-qubit Kookaburra device in 2025.

While Heron’s qubit count may look like a step back, it’s important to IBM’s overall plans to knit clusters of qubit processors together. That is vital to IBM’s assertions of continued scalability.

“What’s exciting about Heron is that it is defined in such a way that they’re going to be classically controllable [via] the same control hardware infrastructure. So what that means is effectively, we’re going to have quantum computing with classical communication and classical parallelization,” said Chow, who is expected to further detail IBM’s  quantum roadmap this week at the Inside Quantum Technology Conference 2022 in San Diego, Calif.

Quantum timelines

Timelines for quantum computing have been closely watched since qubits first emerged from the lab as part of physics experiments. A common joke holds that today, just as at the turn of the century, “quantum computing is five to ten years away.”

But IBM’s timelines for quantum computing have usually been realistic, according to Brian Hopkins, analyst, Forrester Research.

“IBM has the most detailed roadmap of any of the full stack quantum computing vendors I cover,” he told VentureBeat via email. “Furthermore, they are establishing credibility with the market by completing roadmap milestones per their plan.”

That gives Forrester’s Hopkins confidence in IBM’s 4,000-plus qubit projections, although he emphasizes that IBM is still refraining from any meaningful prediction on when its computers and software will be able to demonstrate advantage – in the form of a positive ROI — for any problem domain.

Hopkins goes on to say this is valuable, in that the company will have greater credibility when it does prove such an advantage.

“Even when we hit advantage for one problem area, it will still be many years before quantum computers are scalable and powerful enough to be applicable to the many areas where we see potential,” he said.

We love qubits – but….

Skepticism of quantum computing timelines is not likely to abate, but elements of IBM’s new timeline suggest the technology may be moving forward faster than some skeptics thought.

While “qubit counts” will get the headlines here and elsewhere, the technology advances that surround qubit research bear closer watching, as do hybrids that match classical and quantum computing to different parts of problems.

“We love qubits – but the exact number is not as important as [the fact] that we have defined the path for the technology to keep scaling,” said Chow.

VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Learn more about membership.

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Evidence for exponential quantum advantage in quantum chemistry is lacking.

Quantum miners yield massive energy savings for blockchain.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

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Quantum-based mining saves 126.7 TWH of energy.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

What fields can quantum computers advance?

Bitcoin mining consumes over 150 terawatt hours annually.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

Quantum mining devices have varying fault tolerance layers that impact their performance.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

What are the challenges in quantum computing research?

Error correction is less crucial in blockchain mining.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

Classical Bitcoin miners are profitable with a 0.000070% success rate.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

Quantum-based systems can be fine-tuned for increased accuracy.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

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Quantum miners don't require full-service quantum computing solutions.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

NISQ systems demonstrate quantum advantage over classical computers.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

What advantages do quantum computers have over conventional computers?

extremely complex calculations
extremely fast calculations

What have been the landmark achievements in quantum computing?

Google's Sycamore quantum supremacy experiment

Quantum miners require around 512 qubits for massive energy savings.

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Quantum Miners Would Yield ‘massive’ Energy Savings for Blockchain: Study

Cointelegraph - Tristan Greene
2023-06-09 01:30
Full disclaimer: This platform includes third party opinions. We do not endorse their accuracy. Digital asset prices can be volatile. Do your own research. See full terms here.

A pair of scientists from the University of Kent’s School of Computing in the United Kingdom recently conducted a study comparing energy consumption rates for current ASIC-based miners to proposed quantum-based solutions.

According to the team’s preprint research paper, the systems utilizing quantum computing demonstrably outperformed standard mining rigs in energy efficiency:

  “We show that the transition to quantum-based mining could incur an energy saving — by relatively conservative estimates — of about roughly 126.7 TWH, or put differently the total energy consumption of Sweden in 2020.”

Bitcoin mining operations alone consumed more than 150 terawatt hours annually (as of May 2022), per the paper, putting into perspective the potential impact the proposed quantum-based systems could have.

The pair’s conclusions were based on experiments comparing three different quantum mining systems to an Antminer S19 XP ASIC miner.

The quantum mining devices were split between a system featuring a single layer of fault tolerance, another one with two layers of fault tolerance and one without any dedicated error-correction features.

As the researchers point out, blockchain mining is one of the few areas of quantum computing where error correction isn’t such a big deal. In most quantum functions, errors create noise that functionally limit a computing system’s ability to produce accurate computations.

In blockchain mining, however, success rates with state-of-the-art classical systems are still relatively low. Per the research paper, “A classical Bitcoin miner is profitable with only a success-rate of about 0.000070%.”

The researchers also note that, unlike classical systems, quantum-based systems can actually be fine-tuned over time for increased accuracy and efficiency.

While quantum computing technology is still considered to be in its infancy, the very specific problem of blockchain mining doesn’t require a full-service quantum computing solution. As the researchers put it, “a quantum miner is not, and need not be, a scalable, universal quantum computer. A quantum miner need only perform a single task.”

Ultimately, the researchers conclude that it should be possible to build miners using existing quantum technologies that demonstrate quantum advantage over classical computers.

Despite the potential energy savings, it bears mention that the researchers focused on a type of quantum computing system called a “noisy intermediate-scale quantum” (NISQ) system.

According to the preprint paper, quantum miners should demonstrate “massive” energy savings at a size of around 512 quantum bits, or “qubits” — a term somewhat analogous to classical computing bits.

Typically, however, NISQ systems only operate with about 50-100 qubits, though there doesn’t appear to be an industry standard.

While the energy savings might be feasible, the costs of building and maintaining a quantum computing system in the 512 qubit range have, traditionally, been prohibitive for most organizations.

Only D-Wave and IBM offer client-facing systems in the same range (D-Wave’s D2 is a 512-qubit processor, and IBM’s Osprey weighs in at 433), but their architectures differ so greatly that comparisons between their qubit counts are ostensibly meaningless.

View full text

The UAE is investing in quantum computing, a market expected to reach $1 trillion by 2035.

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Content: Monday, 25 March 2024 02: 58 GMT
UAE invests in ‘ quantum computing ’ to look to the future
(MENAFN- Al-Bayan)
The UAE is investing in the sector of quantum computing, which is expected to reach a global market value of $1 trillion in 2035, as one of the fastest expanding fields of technology in the world and because of its innovative applications capable of solving challenges in many sectors, because of its strength and speed in calculating physical phenomena, compared to traditional computers.
The UAE aims to invest in quantum computing to enable innovation and a knowledge and sustainable economy through the Quantum Research Center and UAE institutes and universities to explore the future of this vital sector. The Institute of Technology Innovation ’ s (TII) Quantitative Research Center is working to build the first quantum computer in the UAE, according to the Interregional Center for Strategic Analytics in Abu Dhabi.
The UAE has quickly realized the benefits of the quantum computing sector in all sectors and fields, especially in the economy and scientific research, as part of the country ’ s long-term strategies to keep pace with the global technological development represented by the fourth industrial revolution and artificial intelligence, which will change the face of the world in the coming years.
IDC expects global investments in quantum computing to reach $16.4 billion by the end of 2027, with a compound annual growth rate of 11.5%, which includes investments by the public and private sectors and R & D spending from technology, services and finance companies.
There is growing interest in quantum computing by global government agencies, with 14 of them (13 countries plus the European Union) announcing multi-year initiatives that will generate billions of dollars for quantum computing research.
The center said that the UAE is among the 50 projects working to create an attractive investment environment for investments in new and future sectors, including quantum computing technology.
According to Accenture Middle East, quantum computing technology is advancing rapidly, making it a promising technology sector.
The US and China dominate the quantum computing sector to take advantage of the features of the new technological revolution that has enabled scientists to study the basic particles of matter, whose applications have multiplied across different fields despite their relative novelty, promising radical transformations for any industry dependent on speed and processing power, including aerospace, automotive, medicine and others.
Quantum computing technologies have a huge market value, with quantum computing alone expected to reach a global market value of $1 trillion by 2035.
Quantum technology has played a role in many areas, including complex mathematical models, simulations, electronic devices, CT scanners and many others, as it has the potential to revolutionize the way humans communicate and process information at record speeds.
The most prominent areas of use of quantum computing can be found in many fields of military, communications and medicine, and can address economic crises and challenges quickly, and there is no doubt that quantum computing technology can change the map of national industries.
Major technology companies are leading efforts to develop quantum computing, with Google Research Lab and IBM, which built one of the largest quantum computers in the field, and the Chinese University of Science and Technology has developed a quantum computer that is 10 billion times faster than the computer developed by Google.
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