Home > News content

via:量子位 time:2021/11/26 18:18:41 readed:156

Author | border

Two years ago, Google announced that "quantum hegemony", with a quantum computer to complete a classic computer impossible task.

Now, research from the Chinese Academy of Sciences Theory Physics**mathematical method**Catch the "quantum hegemony" of Google.

They used experiments: classic computers are using a kind**New algorithm**After that, the advantages of Google quantum computers do not seem to be as big as the initial promotion.

October 23, 2019, Google issued a Nature Cover article: 53 quantum bits processor Sycamore**200 seconds**Inside, completed supercomputer needs**10,000 years**The task can be completed.

Google Sycamore quantum processor

Two years later, the Chinese Academy of Sciences team completed the same task within 15 hours of computing clusters in 512 British Weida V100.

In fact, when Google proposed the concept of "quantum hegemony", it was questioned in the industry.

IBM first pointed out that Google said that 10,000 years is just a specific algorithm, in fact, as long as the algorithm is optimized, the world's top super-calculated Summit is only just**2.5 days**It can be calculated.

In other words, although Google's quantum computer is faster, it is not an insurmountable divide.

Now, IBM's questioning has been confirmed by the experiment of Chinese scientists.

The Chinese Academy of Sciences is estimated that if this set of programs are transplanted to EXAFLOPS, it may take only dozens of seconds, which is faster than quantum computers.

In addition, the calculation results obtained by their approach are "higher" accuracy than Sycamore.

The fidelity of 1 million unrelated samples generated by this method is 0.0037, and the fidelity of the Google quantum computer is only 0.002.

**Optimized quantum simulation algorithm**

At the beginning, the calculation task of Google Sycamore was to describe the distribution of quantum random number generators. The probability distribution of random numbers is obtained by a series of random numbers in the circuit of 53 quantum bits.

In principle, if the algorithm is used to simulate quantum physics in Sycamore, the classic computer can also obtain the same result as the quantum computer, but the required calculation resources are too large. Google predicts the world's strongest oversight also takes 10,000 years.

However, the Chinese Academy of Sciences believes that the calculation time of Google estimates relies on a specific classic algorithm, rather than applicable to all possible algorithms. "

Therefore, there may be a classic algorithm to catch up with and even break the Google "quantum hegemony".

They did not directly simulate the quantum process, but used a simplified algorithm to achieve the same randomness as Sycamore and have the same physical model.

They describe the interaction of Sycamore quantum bits as**Three-dimensional circading network**The tensor is used to represent the relationship between quantum bit attributes.

In the above figure, the leftmost layer represents the initial state of 53 quantum bits, and the top right side indicates the termination state. The new algorithm simplifies the relationship by cutting off some of the network, from the image, "drilling" on a three-dimensional network.

As for the position of the drilling, it is determined by the physical structure of the Sycamore chip itself.

This method of shrinking the tubular network allows the analog quantum chip to make the Sycamore into several smaller subnets.

Finally, the team said:

If we simulate the quantum domain power circuit, we can implement it in modern supercomputers. In principle,**Overall simulation time can be reduced to dozens of seconds**Hardware experiments from Google faster.

The team said in an interview with "Nanhua Morning Post":

As far as we know, this is the first time in practice, using a classic method to solve the problem of fidelity greater than Google Sycamore circuit.

**Algorithm has been opened**

As early as March this year, they had analog experiments on 60 GPUs, which took about 5 days.

After half a year of optimization, they finally achieved 15 hours of achievement on the computational cluster of 512 British Weida V100.

And they did not further optimize the operation process, and the tensile contraction process is still currently the Python library, and if other software can be used faster.

Currently, this simulation algorithm is already open source in Github. If you have enough calculation resources to run the program - a computer that has more than 32GB.

They also provide a DEMO program to calculate the total run time of a subtask of the algorithm.

**Quantum computer is also developing**

However, it is important to point out that quantum computers are constantly developing.

Hartmut Neven, the person in charge of the Google Quantum Calculation Team, said that even if other researchers have reduced the time required to perform classic simulations, quantum hardware is constantly improving.

For example, this month IBM implements a computer of 127 quantum bits, which is more than 2 times the scale of Google Sycamore, and it is difficult to use classic algorithms.

Professor Zhang Pan, who led the study, also acknowledged that Sycamore is still "quick" in handling quantum computing, and the classic supercomputer is restricted in extension and handling more complex tasks.

**About the Author**

The first author of this paper is a graduate Pan Feng, a graduate student of the Chinese Academy of Sciences, and graduated from Nanjing University of Aeronautics and Astronautics.

The second author of this article is Chen Keyang, North University Yuanpei College.

The author is Pan Feng Tutor, Professor Zhang Pan, Professor of the Institute of Theory Physics of the Chinese Academy of Sciences, and his research areas are statistical physics, applying mathematics and computer science.

(Original title: Chinese Academy of Sciences team with algorithm to catch up with Google "Quantum Hegemony": Google quantum processor is not more faster than E-level)

The average score will be displayed after you score.

Related news

Hot news this week

The most popular news this week

## User comments