Quantum computing is advancing rapidly, with significant successes in developing qubit technologies like superconducting qubits, ion traps, and silicon spin qubits.

China leads in quantum technology, with Zuchongzhi No. 2 computing 10 million times faster than traditional computers.

The US, China, and Japan are investing heavily in quantum computing, led by companies like IBM, Google, and Fujitsu.

IBM has reduced the qubits required for error correction by a factor of 10 using a new approach.

Google has developed new quantum error correction algorithms using a 49-qubit design with increasing array size and reduced error rate.

Quantum error correction is crucial for quantum computing as it extends the lifetime of quantum information past the breakeven point.

Current quantum computers have high error rates and qubits last only 30 to 95 milliseconds, limiting practical applications.

Quantum computing can bring breakthroughs in fields like drug discovery, financial modeling, and optimization.

Qubit Pharmaceuticals uses quantum computing for drug discovery through simulation and molecular modeling to co-develop new drugs.

Mercedes-Benz and ExxonMobil are using quantum computing for battery development and fuel routing, respectively.

Quantum computing is being used in financial modeling to optimize risk assessment and portfolio optimization.

Fujitsu has developed a 64-qubit quantum computer for drug discovery and finance using superconductivity.

Quantum computing can accelerate machine learning, improve training efficiency and accuracy, and solve currently unsolvable complex problems.

Quantum computing has limitations, including the need for robust error correction and sensitivity to extreme temperatures.

Finland is investing heavily in quantum computing for industry use.

Germany has launched Europe's first 5,000 qubits quantum computer.

Quantum computing has the potential to revolutionize industries like finance, pharmaceuticals, and logistics, prompting heavy investment from countries and companies.

Quantum computing is expected to bring $850 billion in benefits by 2035, but also poses significant risks.

Quantum computers can break certain classical and public-key encryption algorithms by 2030, posing a threat to data security.

The transition to a quantum-resistant world will require years, significant investment, and upgrading or replacing over 20 billion devices.

Quantum computers can decrypt data at a later time, posing a significant concern for companies and governments.

Many countries and companies are investing heavily in quantum-resistant cryptography and key distribution research.

NIST has introduced new post-quantum cryptography algorithms and quantum key distribution can utilize existing fiber-optic cables.

A hybrid approach combining post-quantum cryptography, quantum key distribution, and photon entanglement may provide a more comprehensive secure communication solution.

Quantum-safe infrastructure, including post-quantum cryptography and related technologies, may not be achieved until the 2030s-2040s.

Quantum computing is being used to solve optimization problems, including with the MaxCut algorithm.

Nvidia's cuQuantum simulated 1688 qubits on 896 GPUs, achieving 96% of the best-known answers.

The cuQuantum platform uses cuTensorNet, a library that has set a world record in quantum simulation.

D-Wave has built Europe's first 5,000 qubit quantum computer to solve optimization problems.

Quantum annealing offers higher system stability and is used in applications like drug development and cybersecurity.

The Digital Annealing Algorithm accelerates material screening by 10x and solves combination optimization problems.

QUBO is a commonly used algorithm for optimization problems, including cyclic compound screening.

Google scientists devised an algorithm to translate physical problems into quantum language for quantum computers.

The algorithm exponentially increases operation speed on quantum computers and describes wave-like systems, including neuronal activity maps.

China Mobile is using quantum computing for antenna optimization and 6G research.

The Quantum algorithm is used for 5G and large-scale network optimization.

Russia is improving quantum algorithms and plans to build a universal quantum computer by 2024.

Qudits increase quantum computer performance and allow for denser data encoding.

Grover's algorithm is a quantum algorithm used for searching databases and other applications.

QPSO is being combined with LSTM for optimized prediction.

The QPSO-LSTM algorithm outperforms ARIMA, BP, and RNNs in time series prediction.

Quantum computing is being applied to fields like physics, chemistry, and materials science to solve complex problems.

The time evolution operator is key to quantum algorithms and has applications in condensed matter physics and quantum chemistry.

New algorithms accelerate the time evolution operator workload, enabling simpler quantum computers.

Hybrid quantum and classical methods improve performance and reduce costs for complex problems.

Quantum computing faces enormous challenges in scalability, reliability, and error correction.

Researchers found a way to control qubits using microwaves and light, meeting DiVincenzo standards for scalable quantum computers.

Quantum computers require large-scale processors and precise qubit control for optimal performance.

Quantum computing is expensive, with a single qubit costing up to $10,000, but companies like IBM and others are already using it.

Quantum computers can solve problems faster than classical computers, but their reliability is compromised by inaccurate results.

Quantum computers lack error correction and can decrypt secure data with their processing power.

Global investment in quantum computing has topped $35.5 billion.

The UK has allocated £2.5 billion for quantum research.

Europe's first quantum computer with over 5,000 qubits was launched in Germany.

Fujitsu has developed Japan's No. 2 quantum computer for drug and finance applications.

Huayi Quantum is developing a 100-200 qubit ion-trap quantum computer and a quantum computing cloud platform.

Fujitsu will offer quantum computers to enterprises in 2023 for financial forecasting and drug development.

Pfizer and Japan's AIST are building a quantum supercomputer for drug research and logistics.

Fujitsu and RIKEN have developed a 64-qubit quantum computer for applications in medicine and finance.

The UK, Germany, and Japan are investing heavily in quantum computing research and development.

China has created a quantum computer prototype.

Finland's QuTI project, with a EUR 10 million budget and 12 partners, showcases the country's commitment to quantum computing.

Quantum computing has potential applications in drug discovery, financial modeling, and optimization problems.

Quantum computing is advancing rapidly, with significant successes in developing qubit technologies like superconducting qubits, ion traps, and silicon spin qubits.

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?

new types of qubits
implementations of quantum processors

China leads in quantum technology, with Zuchongzhi No. 2 computing 10 million times faster than traditional computers.

Title:

Content: Recently, scholars from the Chinese Academy of Sciences announced the results of quantum computing research, announced that superconducting quantum computing and optical quantum computer Zuchongzhi No. 2 achieved a record computing performance, and German experts said that China has at least matched the Western level in this basic research field.
However, the current global quantum computer is still in the prototype stage, and the actual application is far from.
"German Voice" pointed out that Chinese scholars recently published a paper claiming that its newly developed 66 qubits (Qubits) programmable superconducting quantum computer Zuchunzhi No. 2, achieved record computing performance, 10 million times faster than the fastest supercomputer currently, and the computational complexity is 1 million times higher than Google's superconducting quantum computer prototype Sycamore.
In 2019, Google ’ s 54-qubit Suzuki became the world ’ s first quantum computer to achieve “quantum supremacy ” (Quantum Supremacy), significantly surpassing the performance of traditional supercomputers.
However, Suzuki can only handle some very abstract specific tasks, and there is still a lot of distance from the daily application scenarios.
According to the research and development team, the difficulty of handling the task is 2-3 orders higher than that of Suzuki.
Pan Jianwei, an academician of the Chinese Academy of Sciences who led this research, said that the next step will be to solve quantum error correction, so as to explore the use of quantum computing to solve some scientific problems of great application value.
The report said that Pan's team also launched the optical quantum computing prototype 9 Chapter 2, which has the computing power per millisecond equivalent to 300 billion years of traditional supercomputers.
However, for the time being, Chapter 2 can only deal with specific tasks and is not yet suitable for practical application.
German experts said that in the past, the Trump administration's sanctions against Chinese technology can only be temporary measures, and they must strengthen their competitiveness in the long run.
In recent years, China has achieved a global leading position in the field of quantum technology. In 2020, Pan Jianwei ’ s team and scholars from international scientific research institutions such as Oxford University achieved unrelenting quantum secret communication based on quantum entanglement between two ground stations separated by thousands of kilometers.
These scientists also used the Mozi quantum communication experiment satellite as a quantum entanglement source, for the first time to achieve the distribution of quantum keys between two places thousands of kilometers apart.
The latest research results of quantum computing have been rated by Kristel Michielsen, a professor of physics at Aachen University and an expert in quantum communication at the Ulrich Research Center for Supercomputing in Germany, as “at least up to the level of quantum computing in the West. ”
However, Pan stressed that his team ’ s Zuchong II has 66 qubits, so its performance is four times that of a 54 qubit Google Suspension.
Neither of the two prototypes used their maximum computing power when handling the experimental task.
Pan Jianwei pointed out that the current quantum computing prototype error rate is still too high, so it can not be put into the actual application scenario.
The stability of qubits remains a major challenge for researchers around the world.
Michelson said that first to try to make high-quality qubits and quantum logic gates, but to keep them stable, it can only last 30 to 95 milliseconds, and scientists are fighting for the moment to let quantum computers handle experimental tasks.
Source: China ’ s quantum computing technology “at least parity with the West ”
# Quantum Computing # Quantum Bit # Quantum Computer # Zu Chong No.2 # Prototype

What advantages do quantum computers have over conventional computers?

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

The US, China, and Japan are investing heavily in quantum computing, led by companies like IBM, Google, and Fujitsu.

Title:

Content: Cross-Strait International
Development of Japan ’ s No. 2 Quantum Computer Completed
Japanese electronics company Fujitsu and the Institute of Physical and Chemical Research announced on Thursday that the two sides have successfully completed the development of the "quantum computer" domestically produced machine 2, which will be opened to enterprises and research institutions to promote the use of new drugs and financial fields.
Using the characteristics of microscopic particles such as electrons and photons, quantum computers can complete complex operations at ultra-high speeds, which is expected to increase the amount of information processing.
Like the domestic No. 1 machine, No. 2 uses the extremely low temperature current to smoothly pass through the phenomenon of "superconductivity", and its approximate performance qubit number is maintained at 64.
Researching new algorithms to reduce errors
In response to the current problem of easy error in quantum computer computing, Fujitsu plans to develop technology through the supercomputer "Fuyue" to develop algorithms that are not easy to error.
Please download on.cc for iPhone / iPad / Android /
Everyone is a reporter.
Explosive method:
Explosive Hotline:
(852) 3600 3600
Faxed:
(852) 3600 8800
SMS:
(852) 6500 6500

IBM has reduced the qubits required for error correction by a factor of 10 using a new approach.

Title:

Content: New Codes Could Accelerate the Advent of Practical Quantum Computing

One of the biggest stumbling blocks for quantum computers is their tendency to be error-prone and the massive computational overhead required to clean up their mistakes. IBM has now made a breakthrough by dramatically reducing the number of qubits required to do so.

All computers are prone to errors, and even the computer chip in your laptop runs code designed to fix things when a bit flips accidentally. But fragile quantum states are far more vulnerable to things like environmental noise, which means correcting errors in quantum processors will require considerable resources.

Most estimates predict that creating just a single fault-tolerant qubit, or logical qubit, that can carry out useful operations will require thousands of physical qubits dedicated to error correction. Given that today’s biggest processors have just hundreds of qubits, this suggests we’re still a long way from building practical quantum computers that can solve real problems.

But now researchers at IBM say they’ve discovered a new approach that slashes the number of qubits required for error correction by a factor of 10. While the approach currently only works on quantum memory rather than computation, the technique could open the door to efficient new approaches to creating fault-tolerant devices.

Practical error correction is far from a solved problem,” the researchers write in a blog post. “However, these new codes and other advances across the field are increasing our confidence that fault tolerant quantum computing isn’t just possible, but is possible without having to build an unreasonably large quantum computer.”

The leading approach to error correction today is known as the surface code, which involves arranging qubits in a specially configured 2D lattice and using some to encode data and others to make measurements to see if an error has occurred. The approach is effective, but it requires a large number of physical qubits to pull off—as many as 20 million for some key problems of interest, according to IBM.

The new technique, outlined in a preprint on arXiv, comes from the same family of error-correction approaches as the surface code. But while each qubit in the surface code is connected to four others, the new technique connects them to six others, which makes it possible to encode more information into the same number of physical qubits.

As a result, the researchers say they can reduce the number of qubits required by an order of magnitude. Creating 12 logical qubits using their approach would require only 288 physical qubits, compared to more than 4,000 when using the surface code.

There are some significant caveats, though. For a start, it’s currently impossible to achieve the kind of six-way connectivity the team envisages. While the surface code operates on a single plane and can therefore be easily implemented on the kind of flat chip already found in quantum processors, the new approach requires connections to distant qubits that aren’t located on the same surface.

The researchers say this isn’t an insurmountable barrier, and IBM is already developing the kind of long-range couplers required to make these kinds of corrections. The technologies needed are certainly plausible, Jérémie Guillaud at French quantum computing startup Alice & Bob told New Scientist, and could be here in just a matter of years.

A bigger open question, though, is the fact that so far the approach only works with a small number of logical operations. This means that while it works for reading and writing to a quantum memory in a fault-tolerant way, it wouldn’t support most quantum computations.

But the IBM researchers say the techniques they’ve unveiled are just a stepping stone that points toward a rich new vein of even better error-correction approaches. If they’re right and scientists are able to find more efficient alternatives to the surface code, it could significantly accelerate the advent of practical quantum computing.

Image Credit: IBM

Edd Genthttp://www.eddgent.com/
I am a freelance science and technology writer based in Bangalore, India. My main areas of interest are engineering, computing and biology, with a particular focus on the intersections between the three.
RELATED
latest
Don't miss a trend
Get Hub delivered to your inbox

featured

Google has developed new quantum error correction algorithms using a 49-qubit design with increasing array size and reduced error rate.

Title:

Content: Google confirms quantum computing breakthrough – more computing power with fewer errors
On the pages of our site you can find a lot of information about quantum computers, so regular readers know that quantum bits, qubits, are very sensitive to external interference.
Light, heat and electromagnetic waves cause errors during calculations, which makes the results of these calculations less reliable.
And, the more qubits are included in the quantum computing system, the higher, naturally, the error rate becomes.
However, representatives of the group of developers of quantum systems Google announced that they managed to “see the light at the end of the tunnel ”.
In their latest work, they used new algorithms for quantum error correction, which allowed them to increase the dimension of the qubit array, while even lowering the error rate.
Previously, Google specialists combined qubits into logical groups of 17 qubits, but the new design of a logical qubit with 49 qubits allowed to implement a more effective mechanism for correcting errors.
According to the available data, this case is the first in the history of quantum informatics, when the size of an array of qubits was increased while reducing the error rate.
And this is a very big and important step towards the creation of a real universal quantum computer.
However, the creation of a large logical qubit with a small error rate in itself entails the need to modify the hardware and software of a quantum computing system.
At present, Google specialists are already working towards the creation of a new system of cryogenics and electronic control.
When all this is ready, it will be embodied in the form of a new processor for the next generation quantum computer Sycamore 2, which will replace the previous computer and will be used as a cloud service for the development of new drugs, battery technologies, new materials, etc.
Key words:
Google, Quantum, Computer, Processor, Cubit, Error, Odds, Sycamore
Primary source
Other news on the topic:
Google begins to introduce the first technologies of error correction in the field of quantum computing
Google predicts the emergence of full-fledged quantum computers capable of self-learning within the next ten years
Intel begins development of silicon qubits, which will become the basis of scalable quantum computers with millions of qubits
A new type of quantum logic element will allow you to create quantum computers that do not allow errors
Matrix of five superconducting qubits - a prototype of the future quantum processor
• Information
Visitors who are in the group Guests, can not leave comments on this publication.

What are important areas in quantum research?

What companies are leading in developing quantum computing?

Quantum error correction is crucial for quantum computing as it extends the lifetime of quantum information past the breakeven point.

Title:

Content: Quantum Error Correction: Shattering the Breakeven Barrier

A logical qubit is embedded into the state space of a harmonic oscillator using the grid code, represented here by faces of the cube. Quantum error correction protects these grid states from corruption by a noisy environment, symbolized by the ray. Credit: Image courtesy of Polina Shmatkova

Researchers have achieved a major milestone in quantum computing by extending the lifetime of quantum information beyond the breakeven point using Quantum Error Correction, opening the path for effective quantum information processing amidst real-world noise.

Understanding Decoherence and Quantum Error Correction

Decoherence is a foundational phenomenon in which the classical behavior emerges from the quantum laws of nature. This quantum-classical interface presents significant hurdles in utilizing these laws for information processing, especially in the field of quantum computing. Practical issues, like stray radiation, can cause a quantum computer’s qubits to alter their quantum states, resulting in a loss of stored information.

The Breakeven Point and Quantum Error Correction

To mitigate the effects of decoherence, Quantum Error Correction (QEC) is implemented. Despite this, previous experimental attempts to use QEC were mostly unsuccessful as the speed of the error correction was slower than the rate of decoherence. This resulted in the quantum system losing information faster than QEC could compensate. The term ‘breakeven’ describes the juncture where the added complexity of the correction circuit just manages to counteract the induced decoherence.

Extended Lifetimes and New Possibilities

In a groundbreaking experiment, scientists have managed to extend the lifetime of quantum information past the breakeven point by over twofold. This significant finding demonstrates that no fundamental roadblocks exist in extending the lifetime of quantum information through active interventions. This experimental achievement aligns with scientists’ theoretical expectations and paves the way for quantum information processing in the presence of noise from radiation, cosmic rays, and other sources.

Looking Forward: Error-Corrected Qubits and Real-World Challenges

As quantum systems in the real world are unavoidably affected by noise, the next challenge for this research platform is to realize high-fidelity logical operations between two error-corrected qubits.

Implementing Grid Code in Quantum Experiments

The experiment utilized the grid code within an electromagnetic mode located in a superconducting cavity. The quantum state of this mode is managed by an auxiliary superconducting circuit, known as the transmon. To conduct the experiment, scientists cooled the system inside a dilution refrigerator to a temperature 100 times colder than the cosmic background of outer space. An external controller coordinated the quantum error correction process, which only took a few hundred nanoseconds, and a reinforcement learning agent optimized the process to offset the imperfections in the experimental setup and the controller.

Reference: “Real-time quantum error correction beyond break-even” by V. V. Sivak, A. Eickbusch, B. Royer, S. Singh, I. Tsioutsios, S. Ganjam, A. Miano, B. L. Brock, A. Z. Ding, L. Frunzio, S. M. Girvin, R. J. Schoelkopf and M. H. Devoret, 22 March 2023, Nature.
DOI: 10.1038/s41586-023-05782-6

This work was conducted at Yale University and funded in part by the Co-design Center for Quantum Advantage (C2QA), a national quantum information science research center led by Brookhaven National Laboratory.

This research was supported by the U.S. Army Research Office and by the Department of Energy Office of Science, National Quantum Information Science Research Center, Co-design Center for Quantum Advantage (C2QA). The use of fabrication facilities was supported by the Yale Institute for Nanoscience and Quantum Engineering and the Yale School of Engineering & Applied Science Cleanroom.

What are the challenges in quantum computing research?

Current quantum computers have high error rates and qubits last only 30 to 95 milliseconds, limiting practical applications.

What are the challenges in quantum computing research?

Quantum computing can bring breakthroughs in fields like drug discovery, financial modeling, and optimization.

Title:

Content: People 's Daily Online > > Economy and Technology
How does quantum computing change our lives?
May 29, 2023 17: 53 | Source: People's Daily Online
Small number
Young people are wise, then the country is wise; young people are strong, then the country is strong.
In order to further promote the spirit of scientists in the new era, and encourage young people to advocate science and seek truth and innovation, the People's Network specially launched the "Youth China Question" financial media column, with young people asking, seeking the key of wisdom, casting the weapon of the country, and opening the door of the future.
What is quantum computing and how will it change our lives?
Recently, Guo Guoping, a professor at the University of Science and Technology of China, told the People's Daily Online's "Young Chinese Question" column that at present, China has created a prototype of a quantum computer, but really to reach the level of MOSS in "Wandering Earth 2", it will take a generation of sustained efforts.
"The emergence of quantum computers will bring great changes to human society." Guo Guoping envisioned the future world: if the computing power is fast enough, everyone can have customized drugs, customized food, customized medical solutions, customized health care programs and sports programs, and our health will be more guaranteed.
For example, he said, if a coin is thrown from the plane, in fact, it can be calculated whether it is on the front or the back of the landing, but the current computing power is not enough to support multi-parameter input.
After the evolution of quantum computing, people will have more certain answers to various difficult problems such as weather and earthquakes.
Talking about the future development of quantum computing, Guo Guoping believes that it must be around the various needs of human production and life.
He said that human beings develop various cutting-edge technologies, one is to expand human cognition, and the other is to optimize and improve production and life.
He hopes that through the improvement of computing power, more new drugs will be born and disease treatment plans will be more diversified.
Planning: Zhao Zhuqing, Liu Yun, Wang Jie, Zhai Qiaohong, Guo Ying
Copywriter: Zhao Zhuqing
Reporter: Chen Xi
Recording: Tao Tao
Edited by: Wei Qingcheng
Hand-painted: Gaiguo, Enron
Dynamic effect: Wang Yibo
Previous recommendations:
Youth China asked | There is a "heaven palace" in the sky, can the sea floor build a "dragon palace"?
Young Chinese asked | "Chinese Sky Eye" FAST can help us find aliens?
Children in China ask, can you get vaccinated without an injection?
Young Chinese asked if Yang Liwei would like to go back to space.
Youth China asks whether artificial intelligence will surpass human intelligence in the future?
(Editor: Zhao Zhuqing, Gao Lei)
Public Number ： People 's Network Finance
Share it so more people can see it.
Back to top

What advantages do quantum computers have over conventional computers?

extremely complex calculations
extremely fast calculations

What fields can quantum computers advance?

Qubit Pharmaceuticals uses quantum computing for drug discovery through simulation and molecular modeling to co-develop new drugs.

Title:

Content: Is quantum computing the future of drug discovery?

Photo/Shutterstock

In this episode, we explore the synergy of quantum computing and drug discovery with the chief scientific officer and co-founder of Qubit Pharmaceuticals, Jean-Philip Piquemal.

Qubit Pharmaceuticals was founded in 2020 with the vision of co-developing, with pharmaceutical and biotech companies, new, more effective, and safer drugs. The company uses its Atlas platform to discover new drugs through simulation and molecular modeling.

The company uses a supercomputer, Gaia, created in collaboration with artificial intelligence provider Nvidia.

Piquemal said the company is a digital pharma, meaning it doesn’t have wet labs and instead uses computers to predict new drugs. By doing this, Piquemal said the company hopes to discover new drugs for various diseases more quickly.

What is the Atlas platform?

Piquemal said Atlas is the company’s computational platform that is capable of doing many different types of computation.

“We don’t have a lab where people are doing some synthesis, but they are performing computation on their screens,” Piquemal said.

“They can visualize the molecules. They can modify the molecules. And they can compute a lot of properties towards the idea that we will see in the computer the drug interacting with its target. So, it’s like a Swiss knife with hundreds of different methods and very strong computational capabilities to be able to handle the largest supercomputers.”

Piquemal said the dilemma for pharma companies is that, while they find a lot of drugs, there may be difficulties synthesizing them, or the cost may be too high. They may show toxicity, or have side effects, but rarely is this known until the end of the process.

“We have a lot of candidates. But with the idea that probably 99.9% of initial ideas will be already validated as failures. So that’s exactly what we want to do. We want to fail as much as possible in the computer in order to not fail when we come to the real world.”

“This computational revolution will really unleash the power of pharma to help a lot more people.”

Jean-Philip Piquemal, Qubit Pharmaceuticals

What are digital twins?

A digital twin, according to Piquemal, is the idea that you will have a computational model that will be as good as the real object.

“So, in pharma, usually what we are trying to digitalize as a twin is the target of the drug. And the target of a drug in pharma is a protein. A protein has a 3D structure that you can get from experiments. You need to find a drug and to find its location into this target,” Piquemal explained.

“When you look at that in terms of surface, it’s a little bit like the surface of the Moon or the surface of a planet like Mars. There are a lot of different locations. And so the digital twin’s purpose is to reproduce that in the computer. You can explore the surface of this target to find the best location for the drug. That’s a tough problem, and that’s why you need a lot of computation to do this.”

What is the Quantum for Bio program?

The company recently partnered with Pasqal, a quantum computing company, and their project was chosen as one of 12 – alongside NASA and Harvard University – for the Quantum for Bio program, an offshoot of the Wellcome Trust, which aims to accelerate the use of quantum computing in drug discovery and healthcare by developing applications that will benefit from the arrival of quantum computers within three to five years.

Pasqal and Qubit Pharmaceuticals are the only French consortium to be awarded a prize in this global call for projects. Together with the Unitary Fund, they will receive $4.5 million of the total $40 million awarded.

Learn more about quantum computing in drug discovery:

To delve deeper into this subject, here are some articles to further explore related to this podcast:

Newsletter Signup - Under Article

"*" indicates required fields

Subscribe to our newsletter to get the latest biotech news!

Name*
This field is for validation purposes and should be left unchanged.

Suggested Articles

Show More

Mercedes-Benz and ExxonMobil are using quantum computing for battery development and fuel routing, respectively.

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
Related articles
Key word: quantum computing
Soft media 's website: IT home hot products - Value shopping guide, coupons most buy - rebate coupons iPhone home Win7 home Win10 home Win11 home
Soft media software: Cube cloud calendar cool point desktop Win7 optimization master Win10 optimization master soft media mobile APP application

What fields can quantum computers advance?

Quantum computing is being used in financial modeling to optimize risk assessment and portfolio optimization.

Title:

Content: Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
Social Impact of Artificial Intelligence and Future Prospects
Renowned artificial intelligence and quantum computing expert Dr. Yu Longwu shared his insights on the future development of artificial intelligence.
Dr. Yu Longwu pointed out that 2023 is a brilliant year for generative artificial intelligence such as ChatGPT, and looking forward to 2024, artificial intelligence technology will continue to show several important trends.
I encourage young researchers and students to remain curious and inquisitive, to focus on basic learning, to develop interdisciplinary thinking skills, to focus on teamwork and communication skills, and to have a sense of social responsibility.
— Yu Longwu
SAN DIEGO, CA, USA, June 27, 2024 / EINPresswire.com / -- Interview with Mr. Yu Longwu, a North American headline and a scholar in the field of artificial intelligence.
In the latest interview, Dr. Yu Longwu, a well-known artificial intelligence and quantum computing expert, shared his insights on the future development of artificial intelligence.
Dr. Yu Longwu pointed out that 2023 is a brilliant year for generative artificial intelligence such as ChatGPT, and looking forward to 2024, artificial intelligence technology will continue to show several important trends.
Artificial Intelligence Big Model Towards General Artificial Intelligence
Dr. Yu Longwu first mentioned that the AI model will gradually move towards general artificial intelligence.
The large model represented by ChatGPT demonstrates its powerful natural language processing capabilities, but the next generation aims to achieve general artificial intelligence.
Dr. Yu Longwu revealed that OpenAI is training the next generation of artificial intelligence, tentatively named "Q *".
To his knowledge, this generation of AI is being trained “from scratch ” for the first time, with intelligence that does not rely on data from human activity and has the ability to modify its own code to accommodate more complex learning tasks.
Although "Q *" can only solve the mathematics problem of primary school difficulty at present, its future potential cannot be underestimated.
Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
He said: "General AI is not limited to certain specific tasks, but is capable of solving a wide range of scientific and technical problems.
For example, OpenAI is training the next generation of AI, tentatively named ‘ Q * ’.
This marks a new milestone, "he said.
Synthetic data breaks training data bottlenecks
Dr. Yu Longwu pointed out that synthetic data will play an important role in the development of artificial intelligence in the future.
Data bottlenecks have been one of the main factors limiting the development of AI, and synthetic data can provide a large amount of high-quality data to alleviate this bottleneck.
In addition, synthetic data helps to resolve data privacy and security issues and reduce legal disputes.
He explains: “Synthetic data is data generated by machine learning models that mimic real data.
Its advantage lies in providing a large amount of high-quality data and solving the problem of insufficient existing data.
In addition, synthetic data can solve data privacy and security issues and avoid legal disputes. ”
The application of quantum computing in artificial intelligence | Dr. Yu Longwu
Dr. Yu Longwu is optimistic about the application of quantum computers in the field of artificial intelligence.
Quantum computers have powerful parallel computing capabilities, which can greatly improve the computing power of artificial intelligence.
With the continuous progress of quantum computing technology, quantum computing is expected to become the key to solving the bottleneck of AI computing power.
He pointed out: "The parallel computing power of quantum computers gives them a significant advantage in solving complex computational problems.
For example, in machine learning, many algorithms need to do a lot of matrix operations and optimization problems, and quantum computing can greatly speed up these processes. ”
Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
Self-supervised learning and multi-modal learning
Dr. Yu also mentioned that technologies such as self-supervised learning, multi-modal learning and edge computing will play an important role in the development of artificial intelligence in the future.
Self-supervised learning can reduce dependence on labeled data by training with unlabeled data; multi-modal learning can process and integrate data from different sources; and edge computing can handle real-time processing where the data is generated, reducing latency and improving efficiency.
He said: "By using unlabeled data for training, self-supervised learning can greatly reduce the dependence on labeled data and improve the training efficiency."
Multi-modal learning, which can process and integrate data from different sources, will greatly expand the scope of AI applications. ”
Future challenges and responses
Despite the bright prospects, Dr. Yu also reminds us to be cautious about the challenges ahead.
He pointed out that the development of artificial intelligence is not without resistance and problems.
The first is technical bottlenecks and resource constraints.
The training and operation of large-scale models requires a lot of computing resources and electricity, which is a huge burden on the environment and the economy.
In addition, data privacy and security issues remain serious.
AI systems need a lot of data to train, which often contains sensitive information and personal privacy, and how to protect this data is a major challenge.
"We must develop and implement effective laws and policies to ensure that the development of AI is ethical and ethical and prevents misuse and malicious use," he said.
Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing
The integration of quantum computing and artificial intelligence
The application prospect of quantum computing in artificial intelligence
When talking about the integration of quantum computing and artificial intelligence, Dr. Yu Longwu showed great enthusiasm.
He pointed out that the application prospect of quantum computing in artificial intelligence is very broad.
First, the parallel computing power of quantum computers gives them a significant advantage in solving complex computational problems, such as in machine learning, where many algorithms need to perform a large number of matrix operations and optimization problems, and quantum computing can greatly speed up these processes.
"Quantum computers are capable of dealing with problems that classical computers cannot solve, such as cracking complex encryption algorithms, simulating the quantum behavior of molecules and materials, and solving complex optimization problems," he said.
Quantum machine learning
Dr. Yu also stressed that the combination of quantum computing and artificial intelligence can improve the training efficiency of AI models.
Quantum machine learning algorithms can run on a quantum computer, speeding up the model training process and improving the training accuracy.
Especially for deep learning, which requires a lot of computational resources, this will bring significant improvements.
He said: "Quantum machine learning algorithms can run on a quantum computer, speeding up the model training process and improving the training accuracy.
This is especially important for deep learning, which requires a lot of computational resources. ”
Challenges Faced
Dr. Yu Longwu also pointed out that at present, quantum computing still faces many challenges in practical applications, such as the limitation of quantum bits, the problem of quantum error correction, the development of quantum algorithms and the limitation of hardware technology.
Nevertheless, he is confident in the future of quantum computing, believing that as technology continues to advance, quantum computing will play an increasingly important role in the development of artificial intelligence.
"Despite these challenges, I believe that with the continuous advancement of technology, quantum computing will certainly play an increasingly important role in promoting the development of artificial intelligence in the future," he said.
Collaboration between quantum computing and traditional computing
Dr. Yu Longwu believes that in the future, quantum computers will not completely replace traditional computers, but the two will develop together and play their respective roles.
Quantum computers have significant advantages when dealing with complex parallel computing tasks, while traditional computers still perform well when performing some simple, linear tasks.
By combining quantum computing with traditional computing, optimal computing efficiency and performance can be achieved.
"Quantum computing and traditional computing have their own strengths, and in the future the two will work together to achieve the best computing efficiency and performance," he said.
Specific Application Scenarios
In terms of specific application scenarios, Dr. Yu Longwu mentioned that quantum computing can play an important role in areas such as drug discovery, materials science, optimization problems, and financial modeling.
For example, in drug discovery, quantum computing can simulate the quantum behavior of molecules and accelerate the drug screening process; in materials science, quantum computing can help design new materials and optimize their performance; in optimization problems, quantum computing can quickly find the optimal solution and improve decision-making efficiency; in financial modeling, quantum computing can improve the accuracy of risk assessment and investment strategies.
"Quantum computing has broad application prospects in areas such as drug discovery, materials science, optimization problems, financial modeling, and can greatly enhance the level of research and application in these fields," he said.
Social Impact of Artificial Intelligence and Future Prospects
Impact of Artificial Intelligence on Society
At the end of the interview, Dr. Yu discussed the far-reaching impact of artificial intelligence on society.
He pointed out that artificial intelligence has great potential in improving productivity and quality of life.
For example, AI can be used in medical diagnostics to help doctors diagnose diseases more accurately and improve treatment effectiveness; it can be used in autonomous driving to improve traffic safety and efficiency; it can be used in smart homes to make our lives more convenient and comfortable.
In addition, artificial intelligence can also be used for scientific research, accelerating scientific discoveries, and solving some of the major challenges facing humanity, such as climate change, energy shortage and so on.
"Artificial intelligence has great potential to boost productivity and improve quality of life, and can dramatically improve efficiency and effectiveness in all areas," he said.
Challenges and Risks Faced
However, Dr. Yu also warned about the challenges posed by artificial intelligence.
He mentioned that the development of artificial intelligence may lead to the disappearance of some traditional jobs, which will lead to employment problems.
Businesses may try to hire fewer people to perform the same tasks, resulting in large numbers of workers losing their jobs.
In addition, data privacy and security issues are also important challenges for AI.
AI requires a lot of data to train and operate, which may contain personal privacy and sensitive information, and how to protect the security of this data is a major challenge.
"The development of artificial intelligence may lead to the disappearance of some traditional jobs, and companies may try to hire fewer people to perform the same tasks, which will have a knock-on effect on the job market," he said.
Ethical and Moral Issues of Artificial Intelligence
The third is the ethical issue of artificial intelligence.
Dr. Yu Longwu pointed out that the development of artificial intelligence may bring some ethical and moral issues, such as whether artificial intelligence decision-making is fair, and whether artificial intelligence will pose a threat to human beings.
How to formulate and implement effective laws and policies to ensure that the development of AI is ethical and ethical is an issue that needs to be studied and explored in depth.
"The development of artificial intelligence raises a number of ethical and ethical issues, and we have to make sure that the development of artificial intelligence is ethical and ethical," he said.
Future outlook
Dr. Yu Longwu is full of expectations for the future development of artificial intelligence.
He hopes that AI can play a role in more fields, solve more practical problems, and make greater breakthroughs in intelligence and autonomy.
At the same time, he stressed that the development of artificial intelligence must be safe and controllable, and a sound artificial intelligence governance system needs to be established to ensure that it does not pose a threat to human society.
"I hope that AI can play a role in more areas, solve more practical problems, and at the same time ensure that the development of AI is safe and controllable," he said.
Advice for young researchers and students
Finally, Dr. Yu Longwu put forward several suggestions for young researchers and students.
He encouraged them to maintain their curiosity and spirit of exploration, focus on basic knowledge learning, develop interdisciplinary thinking skills, focus on teamwork and communication skills, and have a sense of social responsibility.
He believes that the younger generation of researchers will play an important role in the development of artificial intelligence in the future, bringing more benefits to human society.
"I encourage young researchers and students to remain curious and inquisitive, focus on basic learning, develop interdisciplinary thinking skills, focus on teamwork and communication skills, and be socially responsible," he said.
Summing up
In this in-depth interview, Dr. Yu Longwu painted a blueprint for the future of artificial intelligence and quantum computing for us.
His insights not only reveal the current direction of technology, but also provide us with ideas and ways to meet the challenges of the future.
With the continuous advancement of technology, artificial intelligence and quantum computing will continue to drive social progress and bring a better future for mankind.
Cheng Yi
North American headlines
Email us here
Visit us on social media:
YouTube
Interview with Dr. Yu Longwu: Looking forward to the future development of artificial intelligence and quantum computing

What advantages do quantum computers have over conventional computers?

What fields can quantum computers advance?

Fujitsu has developed a 64-qubit quantum computer for drug discovery and finance using superconductivity.

What are important areas in quantum research?

What fields can quantum computers advance?

Quantum computing can accelerate machine learning, improve training efficiency and accuracy, and solve currently unsolvable complex problems.

What advantages do quantum computers have over conventional computers?

extremely complex calculations
extremely fast calculations

What fields can quantum computers advance?

Quantum computing has limitations, including the need for robust error correction and sensitivity to extreme temperatures.

What are the challenges in quantum computing research?

sensitivity to environment
high error rates

Finland is investing heavily in quantum computing for industry use.

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 are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

Germany has launched Europe's first 5,000 qubits quantum computer.

Title:

Content: Europe ’ s first quantum computer with over 5,000 qubits is launched in Germany
2022 / 1 / 31 17: 24: 50 Source: ijiwei Author: JZ
According to surging news reports, recently, Europe's first quantum computer with more than 5,000 qubits was launched at the Forschungszentrum Jülich Research Center in Germany.
The center said it was an important milestone in the development of quantum computers in Europe.
Built by D-Wave, a Canadian supplier of quantum computing systems, the supercomputer is the company ’ s most computationally capable machine to date and is deployed outside of the company ’ s headquarters for the first time.
This quantum annealing computer is essentially the same idea as adiabatic quantum computing, and the machine is designed to deal with optimization and sampling problems.
The advantage of quantum annealing is that the stability of the system is much higher than that of the quantum gate.
With this super quantum computer and the establishment of the remote cloud-access D-Wave quantum system at the Leahy Research Center, the center is able to participate in the practical application of quantum computing at an early stage.
Quantum computers are expected to revolutionize drug development, cybersecurity, financial modeling, weather forecasting and many other fields, dealing with problems that classical computers cannot solve.
In order to realize the commercial application of quantum computing as soon as possible, the center established the JUNIQ quantum computing user infrastructure (JUNIQ) to provide friendly access to quantum computing systems for different user groups in Europe.
In the future, JUNIQ will provide facilities for German and other EU researchers and companies to use JUNIQ to help them use quantum computers, from experimental systems and machine prototypes to first-of-its-kind production systems, and develop algorithms and applications.
Related articles
Key word: quantum computer
Soft media 's website: IT home hot products - Value shopping guide, coupons most buy - rebate coupons iPhone home Win7 home Win10 home Win11 home
Soft media software: Magic cube swordfish browser (speed kernel) cloud calendar cool point desktop Win7 optimization master Win10 optimization master soft media mobile APP application

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

Quantum computing has the potential to revolutionize industries like finance, pharmaceuticals, and logistics, prompting heavy investment from countries and companies.

Title:

Content: TIMES ENTERPRISE NETWORK: RISING STARS

Start-up leads charge in widening access to quantum computing

Oxford Quantum Circuits sells access to its supercomputer via Amazon Web Services
new

Dr Ilana Wisby is the chief executive of Europe’s first “quantum computing-as-a-service” company and one of very few women leading start-ups in the field.

Quantum computing is developing rapidly, and global investment in the sector has topped $35.5 billion (£27 million) as industry and governments look to seize on the opportunity it presents. In his most recent budget, Jeremy Hunt unveiled a £2.5 billion funding pot for quantum research, even as he slashed funding for other tech areas.

Quantum computers can operate much faster than conventional computers and perform multiple calculations simultaneously. The technology is still maturing, but in the near future it could solve previously intractable problems, enhance artificial intelligence and transform processes such as drug discovery.

Wisby, 32, who holds a PhD in

Title:

Content: Japan ’ s Fujitsu Corporation, together with the Institute of Physical and Chemical Sciences, is expected to start making quantum computers available to enterprises in 2023 (April 2023-March 2024) in order to promote the practical use of quantum computers.
The ground-breaking product is expected to be used in financial market forecasting, new materials and drug development, an achievement that will solidify Japan ’ s position as the world ’ s No. 3 in quantum computing and lead to new technologies for Japan ’ s economic industry and defense security.
According to the Nikkei Chinese website, Fujitsu has been developing quantum computers since April 2021 when it set up a cooperation center with the Institute of Physical and Chemical Sciences in Saitama Prefecture and Hikari City, with about 20 researchers participating.
It is planned that the machine will be manufactured, disclosed to enterprises and used for technical research by 2023.
This will be the first time that a domestic company will launch a general-purpose quantum computer that can complete a wide range of calculations, or become a catalyst for a new generation of technologies that affect industrial competitiveness and defense security.
The report pointed out that compared to supercomputers, quantum computers are extremely fast in computing, and have the potential to bring technological innovation to the development of materials and other aspects, affecting the competitiveness of various industries including chemistry, pharmaceuticals, automotive and finance.
Since April this year, Fujitsu and Fujitsu have started joint research on material design in cooperation with Fujitsu Film Co., Ltd., and will increase partners in the future to accumulate knowledge for future applications.
Compared with overseas companies, in Japan, IBM set up a self-developed quantum computer in Kawasaki in 2021, and the development speed is relatively slow.
Fujitsu gained technology and experience from the Institute of Physics and Chemistry as the first real opportunity for a Japanese company.
Like Google and IBM, quantum computing will be performed using “superconducting ” circuits that are cooled at extremely low temperatures to eliminate resistance.
The report said that the manufacturing of quantum computers has been dominated by American technology companies.
Google achieved what it calls “quantum transcendence ” in 2019, and it can solve the 10,000 year problem of a supercomputer in about three minutes.
In recent years, China's technology has also been improving, and emerging companies have also clearly risen.
Japan currently ranks third in the world in patent distribution in the field of quantum computers, behind only the United States and China.
The report pointed out that the computer developed by Fujitsu in 2023 reached 64 qubits, more than the 53 qubits that Google achieved when it achieved quantum transcendence.
This is second only to the 127 qubits developed by IBM in 2021, which are also considered to achieve highly competitive performance in the world.
Fujitsu is expected to achieve more than 1,000 qubits after 2026.
Quantum computers have the potential to perform supercomputer calculations in minutes and hours that take hundreds of millions of years.
The Boston Consulting Group predicts that economic benefits of up to $850 billion will be realized around 2040 through the development of new materials and more.
Article source: Fujitsu will realize the practical use of Japanese quantum computers
# Quantum # Bit # Computers # Fujitsu # Supercomputers

What advantages do quantum computers have over conventional computers?

What fields can quantum computers advance?

What advantages do quantum computers have over conventional computers?

What fields can quantum computers advance?

What advantages do quantum computers have over conventional computers?

What fields can quantum computers advance?

Quantum computing is expected to bring $850 billion in benefits by 2035, but also poses significant risks.

Title:

Content: Alert
It will not be all DPP Lai Ching-te talking about the premier and the head of the ministry: there are already candidates to think about.
Previous articlePrevious post: The 4th Stage of Cancer Planned Funeral: Don ’ t Want to See These People
Taiwan stocks rose 124 points, the band high transaction value but hit a new low this year...
Will Quantum Day come next year?
Quantum computing threatens global military security
1994 was a turning point in quantum computing. The algorithm of the American mathematician Shue showed that the problem solving ability of quantum computers exceeds that of traditional computers, and breaking decryption code is likely to be an important early application of quantum computers.
According to Reuters, the world may celebrate “Q-day ” as soon as next year, by which time the current encryption methods will be useless before quantum computers.
In view of this, the United States and China are stealing and harvesting each other ’ s data on a large scale to decipher and intercept messages in the quantum future.
According to the Boston Consulting Group (BCG) report in May last year predicted that enterprises will profit from quantum computing as soon as next year; by about 2035, quantum data may bring users as much as $850 billion (about NT $26.8 trillion) in benefits, quantum technology will mature in that year.
Quantum computers are expected to be able to crack cryptographic codes in minutes, rather than the thousands of years it would take for traditional computers today.
Industry experts claim that North America is the center of quantum computing.
American companies build quantum processors including IBM, Amazon, Intel, Google, Quantinum, IonQ, Microsoft, QCI and Rigetti Computing.
As of the previous year, the United States, the United Kingdom and Canada also had the largest number of startups in the industry, according to the McKinsey report.
As for China, Genyuan Quantum announced in January last year that it had delivered a fully homemade 24 qubit quantum computer to customers and expected to develop a 1024 qubit quantum computer next year. In November last year, Alibaba Group donated the quantum computing laboratory and related experimental equipment of its research institute, Damo Institute, to Zhejiang University.
Baidu also followed suit this month by donating a quantum computing lab and equipment to the Beijing Institute of Quantum Information Sciences, which is supported by the Chinese government.
Others include Guodun Quantum, Guoyi Quantum, Turing Quantum, and the Chinese Academy of Sciences, the country's top scientific and technological academic institution, each developing quantum computing technology.
However, under this 1 quantum trend, the major countries in the United States and China are preparing for the future, lest in the quantum future, far more powerful than the current fastest supercomputer, will be able to crack the password to protect almost all modern communications.
Tilo Kunz, vice president of QD5, a Canadian security company, said that according to the minutes of the meeting released by the US Defense Information Systems Agency, all countries have tried to steal data, that is, to carry out a "harvest now, decipher later" security attack.
The military will discover that its long history of planning and intelligence has caught the eye of the enemy, that corporate intelligence has been stolen, and that people ’ s health records will be revealed.
However, opinions differ on when the quantum day "big limit" will come.
Quantum computing is still in its early days, and only small quantum computers with limited processing power and error-prone capabilities have been built.
Some researchers estimate that Quantum Day may be approaching by the middle of the century.
No one knows who can get there first.
The United States and China are seen as leaders in the field, and many experts believe the United States still prevails.
Researchers believe that more important than breaking the decryption code, quantum computers use the mysterious properties of subatomic particles, which are expected to bring breakthroughs in science, weapons equipment and industry.
Beijing Information Security Quantum Computing Quantum Computer
Extended reading
US, Japan, and Australia air force combat "Against North 24" joint exercise begins in Guam in early February
US B-21 stealth bomber production and China's "big power competition" intensified
Ying / Tsai Ing-wen Visited the Results of the Quantum Computer Project, Hoping to Contribute to the World
Home Made Quantum Computer by Academia Sinica Tsai Ing-wen: Made in Taiwan is the pride of Taiwanese
Related News
The performance is not as expected … Musk named Tesla ’ s share in the Japanese market is too low 1 reason why it is difficult for him to achieve his wish.
Tesla CEO Elon Musk said last week that Tesla ’ s market share in Japan is too low, hoping to at least raise it to a level with other companies.
Will Quantum Day come next year?
Quantum computing threatens global military security
In 1994, the turning point of quantum computing, the American mathematician Shue's algorithm showed that the problem solving ability of quantum computers exceeds that of traditional computers, and breaking decryption code is likely to be a quantum computer.
Japan's Toyota to suspend shipments of 10 cars after diesel engine violations in certification test
Japan ’ s Toyota Motor announced today that it has decided to suspend shipments of 10 affected vehicles because the diesel engine produced by the group ’ s “Toyota Automatic Weaving ” violated the certification test process.
South Korean semiconductor technology leak brothers take over illegal export equipment to earn more than 80 million
A semiconductor cleaning equipment manufacturer in South Korea was prosecuted for illegally leaking related technology to the Chinese side, and one of the suspects even took over the company immediately after his brother was detained and prosecuted for the above reasons.
China 's latest rescue measures boost Asian shares to rise and fall
Asian stocks rose and fell today as the Chinese authorities' latest rescue measures boosted their gains.
International oil prices are rising again in the Middle East, and it is alleged that an attack by a rebel group backed by Iran killed three people.
Semiconductor technology leaks continue! South Korean investigators say technology is flowing to the mainland to reveal secret signals and other methods
South Korean media quoted intelligence agency investigators as saying that the illegal export of semiconductor technology criminals in addition to using code communication to avoid being tracked, their methods are changing day by day, using mergers and acquisitions.
Product recommendation
udn Forum

Quantum computers can break certain classical and public-key encryption algorithms by 2030, posing a threat to data security.

Title:

Content: Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now.

Accelerated by COVID-19, the digital economy is booming in incredible ways: more organizations are embracing digital transformation, migrating workloads to the cloud, exploring artificial intelligence (AI)-powered solutions for real-time business insights, and much more.

But there’s bad news, too: a soaring increase in the number of touchpoints across mobile and web interfaces has broadened the attack surface, causing a sharp rise in data breaches that threaten both businesses and individuals. At the current rate of growth, damage from cyberattacks will amount to about $10.5 trillion annually by 2025 — a 300% increase from 2015 — according to estimates by Cybersecurity Ventures.

But enterprises are now rising up to fight in the never-sleeping, always-on cybersecurity war zone with new technologies like confidential computing and quantum computing. While quantum computing will unlock powerful analytic and AI-processing capabilities, it also opens the door to serious security vulnerabilities, due to the ability of these super-computers to decrypt public-key algorithms in the very near future. This would give cybercriminals and nation-states the ability to openly decrypt information protected by public-key algorithms — not just in the future, but also retrospectively — by collecting encrypted data today to decrypt when quantum computers finally reach maturity.

Although researchers estimate quantum computers could do that as soon as 2030, with the Biden administration’s CHIPS and Science Act being approved — and setting aside $52 billion in subsidies to support semiconductor manufacturers, as well as $200 billion to aid research in AI, robotics and quantum computing — this development could happen even sooner.

Event

Intelligent Security Summit

Learn the critical role of AI & ML in cybersecurity and industry specific case studies on December 8. Register for your free pass today.

Register Now

While the cybersecurity dynamics point to significant potentials in an evolving market, the risks will be increasingly heightened in a post-quantum world. Currently-available commercial solutions do not fully meet customer demands for automation, pricing, services and other capabilities — which is why NTT, a global telecommunications and IT service and consulting company headquartered in Tokyo, is now pushing for the commercialization of attribute-based encryption (ABE).

Quantum computing’s full potential hasn’t been explored yet

ABE was introduced in a 2005 paper co-authored by NTT Research’s cryptography and information security (CIS) lab director, Brent Waters, Ph.D., and is now approaching commercialization, according to a blog post published today by NTT.

On the heels of this development, NTT is currently conducting a proof-of-concept (POC) information-sharing platform using ABE with the University of Technology, Sydney (UTS). “As part of a broader technology partnership with UTS, this initial platform will focus on internal UTS applications,” NTT noted in its official statement.

“Compared to the prevailing coarse-grained access model of public-key encryption, where giving out a secret key essentially amounts to giving access to all the encrypted data, ABE is a more finely tuned approach that grants prescribed access of encrypted data to someone with a set of matching traits. The checking of those attributes happens mathematically, ‘inside the crypto,’ which shifts attention away from servers or software engineering towards policies and the encryption itself,” NTT further stated.

In addition to exploring the commercialization of ABE, NTT Research has also begun primary research into post-quantum ABE schemes. To show the growing maturity of this encryption scheme, NTT Research recently held a 14-day ABE hackathon, where five NTT global teams gathered in Sunnyvale, California, to build potential implementations of the technology.

During the just-concluded NTT R&D Forum, Waters noted that there is a fundamental difference between what quantum computers can potentially do and what quantum computers can do at the moment.

Use cases for attribute-based encryption

There are several real-life use cases for ABE in the business world and across the board, but especially in addressing the challenge of data lakes. Many companies today are swimming in large volumes of data lakes, so much that they find it difficult to effectively categorize their data. Apart from the huge difficulties with deriving accurate analytics from their datasets, another problem persists: much of the data is highly sensitive — like salary data in HR records and customer information. But ABE offers a solution in such scenarios by enabling companies to make data available to employees who need access to it, while protecting such sensitive information.

“We can control access rights at the data layer,” said Kei Karasawa, Ph.D., NTT research vice president of strategy, who added that the same process could be used in protecting smart city applications. “Governments may collect all kinds of information to fuel smart city applications — including transportation and supply chain data, images of peoples’ faces and more. That kind of information should be protected at the data layer,” he noted.

On the road to commercializing attribute-based encryption

NTT has continuously worked on the ABE model for a while. A relatively recent paper on ABE — which shows the first collusion-resistant, post-quantum, decentralized, multi-authority (MA-ABE) scheme — was co-authored by Waters and CIS lab scientists Pratish Datta and Ilan Komargodski and presented at EuroCrypt 2021. “It was proved under the ‘learning with errors (LWE)’ assumption, which has become a pillar in post-quantum security. The scheme also supports access policies captured by disjunctive normal form (DNF) formulas, which are useful in automated theorem proving,” NTT said in its official statement.

So far, NTT’s research team has implemented a prototype of the scheme, but not yet the full MA-ABE. Led by Takashi Goto, the team claims it’s conducting tests for decryption correctness and performance. To be deployed commercially, however, Goto said it would need to undergo further adaptation.“

Although practical quantum attacks do not constitute an imminent threat, NTT customers can rest assured that some of the world’s top cryptographers are exploring post-quantum ABE solutions and that NTT will provide migration paths down the road,” Goto noted.

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

What are the potential threats of quantum computers?

threatening national security through breaking encryption

What fields can quantum computers advance?

The transition to a quantum-resistant world will require years, significant investment, and upgrading or replacing over 20 billion devices.

Title:

Content: US Markets Loading... H M S In the news
HOMEPAGE

Industries can get ahead of quantum's future decryption potential right now

By Scott Crowder, Vice President, IBM Quantum Adoption and Business Development

Quantum computers are maturing quickly. And we see their rapid development as an important opportunity to potentially solve business problems that could revolutionize fields from medicine to finance. But this rapid development also brings risk: Future quantum computers could crack the encryption schemes that safeguard valuable data, like health records and financial data.

As we work to bring about quantum computers that deliver practical advantages over today's computers, we also must ensure that we continue to protect sensitive systems and data. One immediate concern: 'Harvest-now, hack-later' attacks — where sensitive encrypted data is stolen today for decryption using future quantum computers. This is especially critical for governments and highly regulated industries like finance, healthcare, and telco. In fact, 83% of organizations have experienced more than one data breach in their lifetime, according to IBM's 2022 Cost of a Data Breach Report. The good news is that quantum-safe cryptography, capable of protecting this information, exists today. And government and industry are taking notice.

In May, the White House released a memorandum laying out the administration's plan for securing critical systems against potential quantum threats. In July, the National Institute of Standards and Technology (NIST) announced four quantum-safe algorithms for post-quantum cryptographic standardization, which they expect to finalize by 2024. Three of these algorithms were developed by IBM scientists, in collaboration with industry and academic partners. And last month, the US government issued directions on migrating to quantum-safe cryptography to its agencies.

In September, telecommunications industry organization GSMA formed a Post-Quantum Telco Network Taskforce — which IBM and Vodafone joined as initial members — to help define processes to protect telcos from this quantum future. The World Economic Forum recently estimated that more than 20 billion digital devices will need to be either upgraded or replaced in the next 10-20 years to support these new forms of quantum-safe encrypted communication.

To help speed up the understanding and prioritization of what data to protect first, IBM recently demonstrated the first Cryptography Bill of Materials. Like the Software Bill of Materials concept from software supply chains, IBM's "CBOM" simplifies the cryptography inventory assessment across software, services, and infrastructure to identify needed cryptographic components.

Moving to quantum-safe cryptography

Cryptographic standards rely on problems easy for a computer to check but hard to solve. For example, classical computers have a hard time factoring large numbers, but can easily check that two prime numbers multiply together to result in some large number. So, modern encryption methods often use large numbers as codes, such that their prime factors form a key.

However, in 1994, mathematician Peter Shor developed an algorithm that could quickly factor large prime numbers. His namesake algorithm showed a way to crack these codes with fault-tolerant quantum computers. Today's quantum computers aren't yet capable of using Shor's algorithm to factor the numbers used today, but that could change as quantum computers advance in scale, quality, and speed.

With 'quantum advantage' on the horizon, business leaders should prepare for how they could benefit. But they should also understand the risk of future fault-tolerant quantum computers, and explore quantum-safe cryptography to protect their data and systems.

We may not know exactly when it will be possible to breach today's encryption, but one thing is clear: Any data that falls into the wrong hands before an organization transitions to quantum-safe cryptography should be considered lost. And computer systems that need to operate securely without major modifications over time — like the computers in cars, or embedded in satellites — will need to be quantum-safe. Can you afford to wait?

Learn more about the importance of quantum-safe cryptography in the digital economy.

This post was created by IBM with Insider Studios.

Sponsor Post Studios Enterprise Brand Supplied

Quantum computers can decrypt data at a later time, posing a significant concern for companies and governments.

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 are the potential threats of quantum computers?

threatening national security through breaking encryption

Many countries and companies are investing heavily in quantum-resistant cryptography and key distribution research.

Title:

Content: BETA
This is a BETA experience. You may opt-out by clicking here

More From Forbes

Edit Story

Achieving Quantum-Level Security With Hybrid Networks Using PQC, QKD And Quantum Internet

Security CEO and founder of Safe Quantum Inc., working with data-driven companies to define, develop and deploy quantum-safe technologies.

Even though commercially viable quantum computers don’t yet exist, the problem they present for data protection and security is quite real. The prospect of matching quantum speed against large volumes of data may be years away. But that hasn’t deterred cybercriminals from hijacking and holding hostage so-called evergreen data—information like personal health records, corporate intellectual property and government secrets. With these “harvesting” attacks, crooks are biding their time until a quantum computer matures enough to decrypt the existing security.

There are three technologies that companies and governments can use that could mitigate future disasters, but there’s a catch. Deployed in isolation, none of these approaches can handle the threats to data today and down the road.

First, let’s look at encryption standards. RSA is the encryption standard that most of the world has relied upon for over 40 years. That said, the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) is spearheading an initiative to introduce new post-quantum cryptography (PQC) algorithms intended to replace RSA and withstand a quantum attack.

The challenge with this mathematical approach? As with RSA, mathematical solutions are only as finite as the computing power available to hack them. (For a bit more on this, see my previous article.)

The upside of the new PQC standards, however, is they will add a level of security today to transactional data, such as online commerce and consumer retail. This approach to protecting data at the edge will be a replacement for RSA and a precursor to a fault-tolerant quantum computer capable of breaking RSA encryption in the future.

The second approach is to fight the threat of quantum-driven attacks with quantum-level security. This is another solution that’s rapidly coming to market. Using quantum key distribution, or QKD, organizations can use existing fiber-optic cables readily available across much of the world to securely connect a sender and a receiver. Data delivered via photonic keys is only available to the intended recipient.

Using closed-loop metro-scale networks such as the BT-Toshiba-EY initiative, forward-looking companies are working to protect high-priority data. Although QKD may not be scalable for adoption in consumer settings as of now, it’s laying the foundation for using quantum technologies as a key infrastructure for data security.

I’ve expounded previously upon the value of using the pending NIST standards in conjunction with QKD as part of a defense-in-depth strategy. Certainly, doing them both will give you a leg up against what bad actors can do.

But there’s a third component that together with the first two approaches can accelerate the pace of quantum adoption in a way that prepares for the quantum internet while also delivering a new level of security protection. It uses a quantum principle called entanglement, and that’s what keeps two photons of light connected, no matter the distance between them. While nascent, entanglement distribution uses metro-scale networks to link entangled photons between multiple parties.

However, photons of light are impacted by “noise” such as cable vibration, temperature fluctuations and even disturbances in the Earth’s magnetic field. This noise impact is exacerbated over distance, which can cause photons to misbehave and become faulty.

Controlling this noise means quantum networks can be expanded over greater distances, surpassing local point-to-point networks to become broadscale networks, like a quantum internet. And entanglement distribution could also result in distributed processing of quantum computers, by which quantum computers can be strung together and their power multiplied over the network.

To achieve quantum-level security, we must bring all our weapons to bear. A hybrid approach would combine the mathematical protection of PQC, the quantum mechanics protection of QKD and the ultimate in quantum mechanics safeguards achieved by photon entanglement distribution.

For a practical example, consider a mobile telecommunications network. With a large number of distribution nodes throughout a metro network connected with fiber and QKD, wireless transmissions between consumers and other end users would be protected using the more readily adoptable PQC encryption algorithms.

QKD between a major distribution node and a retail customer isn’t realistic at this point, but telco providers could use QKD as an app on the infrastructure between data distribution points and connectors. And by adding entanglement distribution along with memory and repeater technologies, the quantum network could remain coherent across great distances.

You can protect data at the edge using PQC security algorithms and apply QKD quantum security to critical data between nodes today. An investment in the infrastructure required to build the quantum internet is a natural progression from today’s PQC and QKD metro-scale networks. Combining PQC and QKD with the goal of delivering quantum-safe communications with entanglement distribution testbeds is the right step toward the future of the quantum internet and the new world of networked information security.

Our best approach to building a quantum-safe infrastructure is to recognize that the ideal hybrid network includes PQC at the edge, QKD between high-data traffic nodes and the introduction of quantum networking (consisting of entanglement swapping, quantum memory and quantum repeaters) to achieve the future quantum internet.

Putting all your eggs in one PQC basket is a short-sighted strategy that’s too risky without the other components. PQC took a few tumbles with Rainbow and SIKE bowing out of the NIST standards competition in 2022, which should give one pause about a single-threaded solution.

Like the adoption of public key cryptography with RSA encryption starting in the 1970s and progressing into the 1990s, the quantum-safe solution of the 2020s will take a similar amount of time to achieve success by the 2030s to 2040s. But I believe that the winning approach will include the best features of three technologies: PQC, QKD and quantum networking.

Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

Follow me on Twitter or LinkedInCheck out my website

What are the potential threats of quantum computers?

threatening national security through breaking encryption

What fields can quantum computers advance?

NIST has introduced new post-quantum cryptography algorithms and quantum key distribution can utilize existing fiber-optic cables.

What fields can quantum computers advance?

A hybrid approach combining post-quantum cryptography, quantum key distribution, and photon entanglement may provide a more comprehensive secure communication solution.

What fields can quantum computers advance?

Quantum-safe infrastructure, including post-quantum cryptography and related technologies, may not be achieved until the 2030s-2040s.

Quantum computing is being used to solve optimization problems, including with the MaxCut algorithm.

Title:

Content: Nvidia runs cuQuantum on DGX SuperPOD, sets world record for quantum computing simulation
2021 / 11 / 13 9: 25: 08 Source: IT House Author: Changhe Editor: Changhe
It was learned from Nvidia that Nvidia has broken a record in the emerging field of quantum computing and is launching software so that anyone can do the job.
Nvidia said it created the largest quantum algorithm simulation ever, using cuQuantum, Nvidia ’ s SDK for accelerating quantum circuit simulations on GPUs.
The MaxCut algorithm is used to design large computer networks, find the perfect layout of chips with billions of silicon pathways, and explore the field of statistical physics. MaxCut is a key issue in the quantum world and one of the leading candidates to demonstrate the advantages of using quantum algorithms.
The IT family learned that Nvidia runs the cuTensorNet library in cuQuantum on the internal supercomputer Selene, simulating quantum algorithms to solve the MaxCut problem.
1688 qubits are simulated using 896 GPUs, capable of processing graphics containing up to 3,375 vertices.
This is eight times more qubits than previous very large quantum simulations.
Nvidia says its solutions reach 96% of the best known answers.
cuQuantum ’ s first library, cuStateVec, is now available for download.
It uses a state vector method to accelerate the simulation of dozens of qubits.
The cuTensorNet library, which helped Nvidia set a world record, will be launched in December.
Related articles
Key words: Nvidia Quantum
Soft media 's website: IT home hot products - Value shopping guide, coupons most buy - rebate coupons iPhone home Win7 home Win10 home Win11 home
Soft media software: Magic cube swordfish browser (speed kernel) cloud calendar cool point desktop Win7 optimization master Win10 optimization master soft media mobile APP application

What advantages do quantum computers have over conventional computers?

Nvidia's cuQuantum simulated 1688 qubits on 896 GPUs, achieving 96% of the best-known answers.

The cuQuantum platform uses cuTensorNet, a library that has set a world record in quantum simulation.

What are important areas in quantum research?

D-Wave has built Europe's first 5,000 qubit quantum computer to solve optimization problems.

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

Quantum annealing offers higher system stability and is used in applications like drug development and cybersecurity.

What fields can quantum computers advance?

The Digital Annealing Algorithm accelerates material screening by 10x and solves combination optimization problems.

Title:

Content: This website uses relevant technologies to provide a better reading experience, while respecting the privacy of users. Click here to understand the privacy statement of the Central News Agency. When you close this window, you agree to the above regulations.
Your browser does not appear to support Traditional Chinese.
Would you like to go to CNA ’ s English website, “Focus Taiwan ”?
Koko Koko Koko Koko Koko Koko
"日本語版「フィーカス」について" (in Japanese).
Central News First-hand News APP
Download
Development of Digital Annealing Algorithm to Accelerate Material Screening by 10x
2024 / 5 / 2 19: 24
Please agree to our privacy policy in order to enable news listening.
Please agree to our privacy policy in order to enable news listening.
The research team supported by the National Science Council has developed a special "digital annealing" algorithm, and cooperated with Formosa Plastics, Fujitsu and the Institute for Information Technology to select five kinds of inhibitors from 5,000 candidate structures. The time required has been greatly shortened to 1 / 10 of the original. Research.
Digital Annealing is an attempt to solve complex problems that are too time-consuming to deal with before quantum computers mature to be able to operate, and digital annealing is best used to solve various problems of "combination optimization", such as nurse scheduling.
Fujitsu ’ s third-generation digital annealing hardware has achieved remarkable results by developing a digital annealing algorithm for cyclic compound screening, using the fitting parameters of Formosa Plastics ’ complete compound database, Quadratic Unconstrained Binary Optimization (QUBO).
The NSC pointed out that the molecules selected by the calculation process are being tested in the PVC (polyvinyl chloride resin) process after being confirmed by the Formosa Plastics pilot plant, and the results have been selected as one of the next covers of the International Journal of Industrial & Engineering Chemistry Research.
The research team further explained that the petrochemical products in contact with oxygen, natural oxidation phenomenon will occur, the appropriate addition of inhibitors, can effectively slow down the oxidation rate of compounds, this time is selected phenolic inhibitors for research, hoping to quickly screen the structure with good inhibitory effect from a large number of combinations.
According to the research team, through the annealing model, the team selected five of the more than 5,000 candidate structures that were expected to have the best results, and verified them with traditional classical simulation calculations, and found that the annealing model calculation results were quite accurate.
In the comparison of time cost, from 5000 candidate structures, the selection of 5 kinds of good effect, classical simulation requires 7500 hours, annealing model only needs 700 hours, in other words, the screening time is greatly shortened to about 1 / 10 of the original, for the industry in the synthesis of compounds and the search for new compounds, there is a good acceleration effect.
The research team pointed out that before the general purpose quantum computer mature, the actual application value of this annealing technology is very high. In addition to the phenolic inhibitors research, Formosa Plastics will also be extended to the research of environmentally friendly and green energy-related materials. At the same time, the current screening structure has not yet considered the cost, and price screening will be added in the future.
Central News Agency "First-hand News" app
The text, pictures and audio and video of this website shall not be reproduced, broadcast or transmitted or used without authorization.
Please continue reading.
Formosa Plastics Petrol Price Unadjusted 92 Unleaded Petrol $29.5 per litre
172.30.142.32

QUBO is a commonly used algorithm for optimization problems, including cyclic compound screening.

What fields can quantum computers advance?

Google scientists devised an algorithm to translate physical problems into quantum language for quantum computers.

Title:

Content: People 's Daily Online > > Economy and Technology
New Algorithm Transforms Physical Problems into Quantum Language
December 28, 2023 09: 07 | Source: Science and Technology Daily
Small number
New Algorithm Transforms Physical Problems into Quantum Language
Scientists at Google have devised an algorithm that can translate complex physical problems into the language of quantum physics, which could make quantum computers more useful.
The paper was published recently in the journal Physical Review X.
Once quantum computers become powerful enough, they may be useful for specific tasks such as encryption and drug discovery, but whether they can solve many scientific problems that traditional computers cannot handle is still unknown.
Lead researcher Ryan Barbush and colleagues have developed an algorithm that can translate a large number of traditional physics problems to run on a quantum computer.
Moreover, when simulating an important traditional system on a quantum computer, the operation speed will be exponentially increased.
The team explained that any stabilization system that is disturbed by an external force, such as a Kevlar vest suddenly hit by a bullet, can be described in the mathematical language of systems such as balls and springs.
Objects in these systems obey Hooke ’ s law and bounce back and forth.
The study found that, no matter how complex, the mathematical description of these traditional spring systems can be represented as a version of the Schrödinger equation, which describes how any quantum system changes over time.
By observing the similarity between the two equations and using symmetry, the researchers wrote an algorithm that translates the distance and speed of the spring ’ s movement into the language of the Schrödinger equation as well as the qubits used by the quantum computer.
This ball and spring system can describe many physical problems, including most wave-like systems, such as neuronal activity maps or light reflected from the surface.
Babush ’ s team has yet to figure out how many qubits it would take to run an algorithm, possibly beyond the number of qubits available in today ’ s quantum computers, to solve these physical problems or one of the first applications for error-correcting quantum computers.
(Editor: Yang Xi, Chen Jian)
Public Number ： People 's Network Finance
Share it so more people can see it.
Back to top

What are important areas in quantum research?

development of high-level software
implementations of quantum processors

What companies are leading in developing quantum computing?

The algorithm exponentially increases operation speed on quantum computers and describes wave-like systems, including neuronal activity maps.

What advantages do quantum computers have over conventional computers?

China Mobile is using quantum computing for antenna optimization and 6G research.

Title:

Content: People 's Daily Online > > Economy and Technology
Communication Network Optimization Algorithm Based on General Quantum Computer Validated Successfully
Wu Changfeng
July 11, 2023 09: 12 | Source: Science and Technology Daily
Small number
Original Title: Communication Network Optimization Algorithm Based on General Quantum Computer Validated Successfully
On the 10th, the reporter learned from Anhui Quantum Computing Engineering Research Center that China Mobile Communication Co., Ltd. (hereinafter referred to as China Mobile Research Institute) and Benyuan Quantum Computing Technology (Hefei) Co., Ltd. (hereinafter referred to as Benyuan Quantum) successfully achieved the first algorithm verification based on a universal quantum computer real machine, and the preliminary results met the expected requirements.
According to Cui Chunfeng, president of the Future Research Institute of China Mobile Research Institute, China Mobile is currently in the 5G operation and 6G research and development stage. The core capabilities of 5G are to enhance mobile broadband, large-scale access and ultra-low latency high-reliability communication. The bridge of the world.
Therefore, compared with 5G, 6G will face computing problems such as larger-scale business optimization, larger-scale network optimization, larger-scale signal processing and machine learning large model training, and classical computing and algorithms are under great pressure.
The power of computing is the biggest feature of quantum computers.
At present, the global quantum computing is steadily developing and has been piloted in some high-computing demand industries. "We want to try to evaluate and verify the feasibility of quantum computing in communication networks, especially 6G, from the small-scale problems in some typical scenarios."
In order to solve the problem of optimizing the parameters of the large-scale antenna of the base station in the 5G network, the source quantum has proved the feasibility of the quantum algorithm in the specific problem through effective modeling, algorithm design and real machine verification.
"This gives us the confidence to introduce quantum computing," Cui Chunfeng said. In the next step, China Mobile will further expand the scale and type of the problem, design better quantum algorithms, and promote the phased integration of quantum computing into the communication network.
Through the integration and innovation of quantum computing and communication, it drives the integration and development of quantum computing and communication industry, and explores a leapfrog path for the development of mobile information networks.
(Editor: Shen Jiaping, Chen Jian)
Public Number ： People 's Network Finance
Share it so more people can see it.
Back to top

What countries and blocs are leading in developing quantum computing?

The Quantum algorithm is used for 5G and large-scale network optimization.

Russia is improving quantum algorithms and plans to build a universal quantum computer by 2024.

Title:

Content: Sections
Digitalization of IT in the public sector Import independence
Russian scientists have figured out how to dramatically increase the performance of a quantum computer
Scientists from Russia have found a way to increase the performance of a quantum computer.
To do this, they used qudits, which allow you to significantly reduce not only the number, but also the time of calculations.
And this, in turn, will allow you to run more complex and complex quantum algorithms.
A new approach
Russian scientists have figured out how to increase the performance of a quantum processor.
This CNews told representatives of the National Research Technological University MISIS.
Scientists from MISIS and the Russian Quantum Center (RCC) have proposed a new approach for launching quantum algorithms using additional levels of the quantum system.
The method improved the final quality of quantum algorithms.
This article was published in the scientific journal Entropy.
Qubits and Qudits
Now most of the research on quantum operations is focused on qubits - all operations that apply to a quantum system are represented in the form of one- and two-qubit quantum gates that convert the input states of qubits at the weekend according to a certain law, the representatives of MISIS note.
Photo: MISIS
Head of the Laboratory of Quantum Information Technologies MISIS Alexey Fedorov
The main way to improve the performance of quantum processors is to increase the number of their qubits (the smallest unit of information in a quantum computer).
At the same time, ions or atoms, which often act as qubits, have more than two levels and can work not only as qubits, but also as qubits (an expanded version of a qubit).
There are three (three), four (four), five (five), and four (four).
These states allow for denser encoding of data in physical media.
And allow you to run more complex and complex quantum algorithms.
Thus, the power of the quantum processor increases and operations can be performed much faster.
What is the novelty
Scientists of MISIS and RCC considered one of the ways of using kukvintov (five-level kudites) and presented an effective model of decomposition of the generalized Toffoli valve.
As an example, Grover's quantum algorithm for searching through a disordered database is considered.
Using only this valve, you can build any reversible classical logic scheme, for example, an arithmetic device or a classical processor.
The advantage of qubits is that their space can be considered as the space of two qubits with a common additional level, explained the head of the laboratory of quantum information technologies MISIS Alexei Fedorov.
This helps to simultaneously reduce the number of physical media, and use the additional layer as an auxiliary state to simplify the decomposition of multi-qubit valves (complex logical operations with qubits) or reduce their number.
This improves the quality of the algorithms.
The results obtained by the scientists apply to quantum processors based on various physical platforms, such as ions, neutral atoms, superconducting circuits and others.
Quantum computers in Russia
In December 2021, Russia created a prototype of a quantum ion computer of four qubits.
The prototype was created within the framework of the “road map ” on quantum computing, carried out by Rosatom.
On its basis, by the end of 2024, they are going to build a universal quantum computer with cloud access.
In 2021, the state corporation allocated more than 6 billion rubles for the development of quantum technologies and the creation of the necessary research infrastructure.
By 2024, more than 23 billion rubles will be allocated for the creation of a quantum computer.
In 2022, physicists increased the power of a quantum computer to five qubits.
On April 5, 2023, remote access to an ion computer was opened in Russia for the first time.
Kristina Kholupova

What are important areas in quantum research?

Qudits increase quantum computer performance and allow for denser data encoding.

What fields can quantum computers advance?

Grover's algorithm is a quantum algorithm used for searching databases and other applications.

What fields can quantum computers advance?

QPSO is being combined with LSTM for optimized prediction.

Title:

Content: SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
Email Signup | RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Cao M, Liang Y, Zhu Y, Lü G, Ma Z. Front. Public Health 2022; 10: e849766.

Copyright

(Copyright © 2022, Frontiers Editorial Office)

DOI

10.3389/fpubh.2022.849766

PMID

35462802

PMCID

PMC9024127

Abstract

Shared bicycles are currently widely welcomed by the public due to their flexibility and convenience; they also help reduce chemical emissions and improve public health by encouraging people to engage in physical activities. However, during their development process, the imbalance between the supply and demand of shared bicycles has restricted the public's willingness to use them. Thus, it is necessary to forecast the demand for shared bicycles in different urban regions. This article presents a prediction model called QPSO-LSTM for the origin and destination (OD) distribution of shared bicycles by combining long short-term memory (LSTM) and quantum particle swarm optimization (QPSO). LSTM is a special type of recurrent neural network (RNN) that solves the long-term dependence problem existing in the general RNN, and is suitable for processing and predicting important events with very long intervals and delays in time series. QPSO is an important swarm intelligence algorithm that solves the optimization problem by simulating the process of birds searching for food. In the QPSO-LSTM model, LSTM is applied to predict the OD numbers. QPSO is used to optimize the LSTM for a problem involving a large number of hyperparameters, and the optimal combination of hyperparameters is quickly determined. Taking Nanjing as an example, the prediction model is applied to two typical areas, and the number of bicycles needed per hour in a future day is predicted. QPSO-LSTM can effectively learn the cycle regularity of the change in bicycle OD quantity. Finally, the QPSO-LSTM model is compared with the autoregressive integrated moving average model (ARIMA), back propagation (BP), and recurrent neural networks (RNNs). This shows that the QPSO-LSTM prediction result is more accurate.

Language: en

Keywords

Humans; Forecasting; *Algorithms; *Neural Networks, Computer; dockless shared bicycles; LSTM; OD distribution; origin and destination (OD); QPSO

NEW SEARCH

All SafetyLit records are available for automatic download to Zotero & Mendeley
Print

What fields can quantum computers advance?

The QPSO-LSTM algorithm outperforms ARIMA, BP, and RNNs in time series prediction.

Quantum computing is being applied to fields like physics, chemistry, and materials science to solve complex problems.

Title:

Content: New Technology ｜ Major Breakthroughs in Quantum Computing, Performance Improves, Cost Reduces, and Approaches to Practical Application
Author: Zhongguancun Online
Published: Updated:
Of all the common rebuttals in the computer (computer) world, the phrase “if only software could catch up with the hardware ” might rank high.
However, software does catch up with hardware sometimes.
In fact, this time, the software seems to be able to achieve the point of unlocking quantum computing for classical computers.
This is what researchers at the Center for Quantum Computing at the Institute of Physics and Chemistry in Japan say, and they have published an algorithm that greatly accelerates a specific quantum computing workload.
What ’ s more, the workload itself — called the time evolution operator — has applications in condensed matter physics and quantum chemistry, two fields that can unlock new worlds in our own.
Typically, an improved algorithm won ’ t completely break away from the norm; after all, updates are everywhere.
Every application update, software update, or firmware upgrade basically brings revised code that either solves the problem or improves performance (hopefully).
The improved algorithm is good, and anyone with an AMD or NVIDIA graphics card can attest to that.
But let ’ s face it: we ’ re used to being disappointed with performance upgrades.
+ 12
However, in this case, the performance improvement is extraordinary.
Really, the results could hardly have been more impressive.
With improved algorithms (which are themselves a hybrid of quantum and classical methods), future quantum computers can be simpler than we thought: they will be able to handle bigger problems faster than we expected, and at a lower cost.
However, the increase in performance is not limited to this.
They can make it possible for conventional machines to deal with problems of a level of complexity that only quantum computers are said to be able to solve.
Kaoru Mizuta of the Center for Quantum Computing at the Institute of Physics and Chemistry explains: “The time-evolution operator is a huge mesh that describes the complex behavior of quantum materials.
They are very important because they give quantum computers a very practical application -- a better understanding of quantum chemistry and solid physics. "
Extended reading: Science and technology, scientists achieve a breakthrough, robots can change the shape of liquefaction and then restore the original shape.
+ 38
【 This article is reproduced with permission from Zhongguancun Online. 】

What advantages do quantum computers have over conventional computers?

The time evolution operator is key to quantum algorithms and has applications in condensed matter physics and quantum chemistry.

New algorithms accelerate the time evolution operator workload, enabling simpler quantum computers.

What advantages do quantum computers have over conventional computers?

What are important areas in quantum research?

Hybrid quantum and classical methods improve performance and reduce costs for complex problems.

Quantum computing faces enormous challenges in scalability, reliability, and error correction.

What are the challenges in quantum computing research?

Researchers found a way to control qubits using microwaves and light, meeting DiVincenzo standards for scalable quantum computers.

Title:

Content: People 's Daily Online > > Economy and Technology
New Quantum Control Law Could Advance the Development of Quantum Computers
July 29, 2022 09: 07 | Source: Science and Technology Daily
Small number
Previous: New Quantum Control Law Could Advance the Development of Quantum Computers
To the extent that quantum computers can meet their expected performance potential, large-scale quantum processors and memories need to be developed.
To do this, precise control of the qubits is critical, but the method of controlling the qubits has limitations for high-precision large-scale high-density wiring.
Researchers at Yokohama National University in Japan have found a way to precisely control qubits.
This advance is a step toward larger quantum computing.
The findings were published in the journal Nature Photonics on the 26th.
Scientists at Yokohama National University Graduate School of Engineering said: Microwaves are usually used for separate quantum control, but require separate wiring of microwave circuits.
In addition, it is possible to manipulate qubits locally, but not to use light precisely.
Using the nitrogen atom vacancy center in the diamond, the team demonstrated control of the qubit by manipulating the electron spin through a combination of microwave manipulation and local optical movement of atomic and molecular transition frequencies.
This process is known as the Stark shift.
In other words, they were able to combine laser-dependent optical methods with microwaves to overcome previous limitations.
The researchers demonstrated that this control of electron spin, in turn, controls the nuclear spin of nitrogen atoms at the nitrogen vacancy center, and the interaction between electrons and nuclear spins.
Simultaneous irradiation of light and microwaves can individually and precisely control qubits without individual wiring.
The team says this paves the way for the realization of large-scale quantum processors and memories, which are crucial for the development of large-scale quantum computers.
In addition, quantum entanglement between electron spin and nuclear spin has been realized.
This allows the connection between qubits and photons, requires less computing power, and transmits information to quantum processors and quantum memories through the quantum teleportation principle.
The new method meets all of the DiVincenzo standards, which are required for quantum computers to operate, including scalability, initialization, measurement, general gates, and coherence.
It can also be applied to other magnetic field schemes other than the Stark offset, in which qubits can be manipulated separately, and it prevents common types of computational errors, such as gate errors or ambient noise.
Researchers say that by further improving the resolution of individual quantum operations and entanglement operations, large-scale integration of diamond quantum computers, quantum storage and quantum sensors can be achieved.
It will also improve the data transmission capabilities of quantum relay networks for long-distance quantum communications and distributed quantum computer networks or quantum internet.
(Intern reporter Zhang Jiaxin)
(Editor: Zhao Zhuqing, Chen Jian)
Share it so more people can see it.
Back to top

What are important areas in quantum research?

Quantum computers require large-scale processors and precise qubit control for optimal performance.

What are important areas in quantum research?

Quantum computing is expensive, with a single qubit costing up to $10,000, but companies like IBM and others are already using it.

What companies are leading in developing quantum computing?

Quantum computers can solve problems faster than classical computers, but their reliability is compromised by inaccurate results.

What advantages do quantum computers have over conventional computers?

extremely complex calculations
extremely fast calculations

What are the challenges in quantum computing research?

Quantum computers lack error correction and can decrypt secure data with their processing power.

What are the challenges in quantum computing research?

What are the potential threats of quantum computers?

threatening national security through breaking encryption

Global investment in quantum computing has topped $35.5 billion.

Title:

Content: TIMES ENTERPRISE NETWORK: RISING STARS

Start-up leads charge in widening access to quantum computing

Oxford Quantum Circuits sells access to its supercomputer via Amazon Web Services
new

Dr Ilana Wisby is the chief executive of Europe’s first “quantum computing-as-a-service” company and one of very few women leading start-ups in the field.

Quantum computing is developing rapidly, and global investment in the sector has topped $35.5 billion (£27 million) as industry and governments look to seize on the opportunity it presents. In his most recent budget, Jeremy Hunt unveiled a £2.5 billion funding pot for quantum research, even as he slashed funding for other tech areas.

Quantum computers can operate much faster than conventional computers and perform multiple calculations simultaneously. The technology is still maturing, but in the near future it could solve previously intractable problems, enhance artificial intelligence and transform processes such as drug discovery.

Wisby, 32, who holds a PhD in

How large are global investments in quantum computing?

The UK has allocated £2.5 billion for quantum research.

Title:

Content: TIMES ENTERPRISE NETWORK: RISING STARS

Start-up leads charge in widening access to quantum computing

Oxford Quantum Circuits sells access to its supercomputer via Amazon Web Services
new

Dr Ilana Wisby is the chief executive of Europe’s first “quantum computing-as-a-service” company and one of very few women leading start-ups in the field.

Quantum computing is developing rapidly, and global investment in the sector has topped $35.5 billion (£27 million) as industry and governments look to seize on the opportunity it presents. In his most recent budget, Jeremy Hunt unveiled a £2.5 billion funding pot for quantum research, even as he slashed funding for other tech areas.

Quantum computers can operate much faster than conventional computers and perform multiple calculations simultaneously. The technology is still maturing, but in the near future it could solve previously intractable problems, enhance artificial intelligence and transform processes such as drug discovery.

Wisby, 32, who holds a PhD in

What countries and blocs are leading in developing quantum computing?

Europe's first quantum computer with over 5,000 qubits was launched in Germany.

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

Fujitsu has developed Japan's No. 2 quantum computer for drug and finance applications.

What fields can quantum computers advance?

Huayi Quantum is developing a 100-200 qubit ion-trap quantum computer and a quantum computing cloud platform.

Title:

Content: Recently, Huayi Boao (Beijing) Quantum Technology Co., Ltd. (referred to as "Huayi Quantum") announced that it has completed a billion yuan angel round of financing.
This round of financing was led by Gao Rong Capital and co-invested by Orbit Pharmaceuticals Co., Ltd., Sequoia Capital China, Qirui Venture and Turing Venture Capital.
The financing will mainly be used to develop and manufacture an ion-trap quantum computer with a scale of 100 to 200 qubits and develop a corresponding quantum computing cloud platform.
Founded in January 2022, Huayi Quantum is the first high-tech enterprise in China to focus on ion trap quantum computing technology. The founding team is from Tsinghua University Quantum Information Center. The founder and chief scientist is Professor Duan Luming, executive director of Tsinghua University Quantum Information Center.
The main problem to be solved by the company is to transform the advanced technical reserves to achieve a modular, standardized and large-scale quantum computer, and on this basis, continue to develop and upgrade, and always provide the most advanced ion trap quantum computer system to meet the relevant commercial, research and other needs.
In addition to the quantum computer machine, Huayi Quantum will also provide access to the quantum cloud platform, so that users can easily obtain quantum computing power.
At present, the expansion of quantum computing applications is mainly limited by the level of quantum computer hardware. After realizing a quantum computer with more than 100 qubits and high fidelity and strong connectivity, it is expected to greatly accelerate the research of heuristic algorithms in the fields of new energy materials, chemical industry, nuclear energy, biopharmaceutical, operation and logistics optimization, and financial engineering.
In the specific technical route selection, compared with other quantum bit implementation methods, the ion trap route has the advantages of large quantum volume, strong expandability, convenient parallel operation, low scale expansion cost and the like, and is considered to be one of the most promising routes for large-scale quantum computing at present.
Huayi Quantum ’ s technical team relies on the existing technical reserves, and will soon realize commercial quantum computer hardware with a scale of more than 100 qubits; and make full use of the team ’ s advantages in advanced architecture design, continue to iterate in the next few years, and gradually increase the number of qubits to tens of thousands of scale.
Huayi Quantum said that after the completion of the first round of financing, more excellent scientists and engineers will be gathered to accelerate the production and iteration of products, help quantum computing achieve more application scenarios and empower new drug research and development, scientific research, industrial production, big data, financial industry and other fields.
Note: The specific financing amount is provided by the investor or the enterprise, and Dynamic Technology does not make any endorsement.

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

Fujitsu will offer quantum computers to enterprises in 2023 for financial forecasting and drug development.

What fields can quantum computers advance?

Pfizer and Japan's AIST are building a quantum supercomputer for drug research and logistics.

Title:

Content: My channel
* Drag categories can be customized sorting
Recover Default OK
Setup
Alert
Silicon Valley is expensive, expensive, but the quality of life is the best in California.
Mysterious Chinese super-rich spend 110 million to buy two luxury homes in South Canada
Pfizer and Japan ’ s AIST build quantum supercomputer
Nvidia, the US chip giant, is teaming up with Japan ’ s Industrial Technology Institute (AIST) to build a quantum computing supercomputer that is expected to be available to researchers and businesses as soon as April next year.
AIST, a technology think tank funded by the Japanese government, is building a quantum artificial intelligence (AI) hybrid cloud system called “ABCI-Q ” as part of the push for a national quantum computing program, Nikkei News reported.
Pfizer is already a graphics processor (GPU) provider for ABCI-Q and will also provide quantum computing software through cloud services in the future.
The system is expected to be available for payment as soon as 2025.
AIST expects that the technology will be used for drug research or to optimize logistics, for example to help logistics companies decide on the best transportation path.
Pfizer has partnered with local research units in Germany and the United Kingdom to develop quantum computing technologies, but broader collaborative projects involving software development are rare.
Computers with quantum computing power can solve problems that are too complex for traditional computers, but prone to errors, and once combined with supercomputers, this problem can be solved.
In the future, researchers will be able to input questions through the cloud system and get responses from the supercomputer. AIST hopes that by making the system public to private companies, it can help improve quantum computing technology.
AI Cloud
The last one.
Financial Questionnaire / Tax Return 9 Landmines Don ’ t step on them and be careful about being taxed
The next one.
Bitcoin Pay Halved, Market Stable
Super-popular
More >

What fields can quantum computers advance?

Fujitsu and RIKEN have developed a 64-qubit quantum computer for applications in medicine and finance.

Title:

Content: October 6, 2023
HomeTechnologiesHardwareFujitsu and RIKEN announced the development of a new quantum computer on 64 qubits
Fujitsu and RIKEN announced the development of a new quantum computer for 64 qubits
Fujitsu and Japanese research institute RIKEN have announced the successful development of a new superconducting quantum computer with 64 qubits.
The authors of the project have also prepared a hybrid quantum computing platform, access to which they will provide their partners.
The platform combines the computing power of a system with 64 superconducting qubits and one of the world ’ s largest 40-qubit quantum computer simulators.
For the operation of the new complex, a hybrid quantum algorithm is being developed that links quantum computing with traditional high-performance computing (HPC).
It will be able to be used to work in various fields, including the development of medicines and financial algorithms.
The new hybrid platform makes it easy to compare the results of calculations of noisy intermediate scale quantum computers (NISQ) with the unmistakable results of quantum simulators, contributing to the acceleration of research in areas such as evaluating the performance of error reduction algorithms in quantum applications.
To test the system, the developers used it to calculate the ground state energy of the H12 molecule and combined the algorithm with artificial intelligence-based quantum computing correction technology designed to mitigate noise effects in quantum computers.
NEWS BY THEME
SOCIAL NETWORKS
12,115Fans Like it
1,012RealityRead
3,086RealityRead
713SubscribersSubscribe
- Advertising -
- Advertising -

What are important areas in quantum research?

What fields can quantum computers advance?

The UK, Germany, and Japan are investing heavily in quantum computing research and development.

Title:

Content: TIMES ENTERPRISE NETWORK: RISING STARS

Start-up leads charge in widening access to quantum computing

Oxford Quantum Circuits sells access to its supercomputer via Amazon Web Services
new

Dr Ilana Wisby is the chief executive of Europe’s first “quantum computing-as-a-service” company and one of very few women leading start-ups in the field.

Quantum computing is developing rapidly, and global investment in the sector has topped $35.5 billion (£27 million) as industry and governments look to seize on the opportunity it presents. In his most recent budget, Jeremy Hunt unveiled a £2.5 billion funding pot for quantum research, even as he slashed funding for other tech areas.

Quantum computers can operate much faster than conventional computers and perform multiple calculations simultaneously. The technology is still maturing, but in the near future it could solve previously intractable problems, enhance artificial intelligence and transform processes such as drug discovery.

Wisby, 32, who holds a PhD in

What countries and blocs are leading in developing quantum computing?

What countries and blocs are leading in developing quantum computing?

What countries and blocs are leading in developing quantum computing?

China has created a quantum computer prototype.

What are important areas in quantum research?

What countries and blocs are leading in developing quantum computing?

What seminal quantum computers/ processors have been developed?

China's 72-qubit Origin Wukong
China's 113-qubit Jiuzhang 2.0

Finland's QuTI project, with a EUR 10 million budget and 12 partners, showcases the country's commitment to quantum computing.

What countries and blocs are leading in developing quantum computing?

Quantum computing has potential applications in drug discovery, financial modeling, and optimization problems.

Quantum computing has potential applications in drug discovery, financial modeling, and optimization problems.

Quantum computing has potential applications in drug discovery, financial modeling, and optimization problems.