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Chinese researchers increase quantum computing speed by 180 Million fold

Quantum computers can already do calculations that would take traditional computers billions of years in minutes. Now they're getting faster.

Key takeaways

  • A quantum computer, Juizhang, built by a team led by Pan Jianwei, has claimed that it can process Artificial Intelligence (AI) related tasks 180 million times faster, the South China Morning Post reported.
  • Even as the US celebrates its lead in the list of TOP500 supercomputers in the world, China has been slowly building its expertise in the next frontier of computing - quantum computing.
  • China's Jiuzhang first shot to fame in 2020, when the research team led by Jianwei performed Gaussian Boson Sampling in 200 seconds.
Cite or link to this article

Griffin, M. (2023) 'Chinese researchers increase quantum computing speed by 180 Million fold', 311 Institute, 10 August. Available at: https://www.311institute.com/chinese-researchers-increase-quantum-computing-speed-by-180-million-fold/ (Accessed: 1 October 2026).

A quantum computer, Juizhang, built by a team led by Pan Jianwei, has claimed that it can process Artificial Intelligence (AI) related tasks 180 million times faster, the South China Morning Post reported. Jianwei is popularly known as the "Father of Quantum" in the country.

Even as the US celebrates its lead in the list of TOP500 supercomputers in the world, China has been slowly building its expertise in the next frontier of computing - quantum computing. Unlike conventional computing, where a bit- the smallest block of information can either exist as one or zero, a bit in quantum computing can exist in both states at once.

Known as a qubit, it allows basic information to represent all possibilities simultaneously, theoretically, making them faster than conventional computers.

China's Jiuzhang first shot to fame in 2020, when the research team led by Jianwei performed Gaussian Boson Sampling in 200 seconds. The same on a conventional supercomputer would take an estimated 2.5 billion years.

Quantum computing is still in its infancy, and researchers worldwide have only begun testing how these systems work and can be used in the future. Pan Jianwei's team, however, decided to use the "noisy intermediate scale" quantum computers to solve real-world problems.

They put Jiuzhang to the test by implementing two algorithms commonly used in AI- random search and simulated annealing. These algorithms can be a challenge even for supercomputers, and the researchers decided to use 200,000 samples to solve it.

At current technological levels, even the fastest supercomputer would take an estimated 700 seconds to go through each sample and a total of five years of computing time to process the samples the researchers had in mind. In sharp contrast, Juizhang took less than a second to process them. That's 180 million times faster than the fastest supercomputer on the planet today.

The US has also been working on quantum computers and has found that the sub-atomic particles involved in the computing process are prone to error even if exposed to the slightest disturbance from the surroundings. This is why quantum computers are operated in isolated environments and at extremely low temperatures.

Jiuzhang, on the other hand, uses light as a physical medium for calculation and does not need to work at extremely low temperatures either. However, the researchers claim it does not require very low temperatures to operate.

The team purposely used some of the advanced algorithms that are in use today to demonstrate the advantages of using quantum computing. The research has demonstrated that even early-stage "noisy" quantum computers offer a distinct advantage over classical computers.

The research team said that the computations achieved by Jiuzhang could also help researchers apply the technology in areas such as data mining, biological information, network analysis, and chemical modelling research, the research team said.

The research findings were published in the peer-reviewed journal Physical Review Letters last month.

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Quantum computers can already do calculations that would take traditional computers billions of years in minutes. Now they're getting faster.

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

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Sources and further reading

  1. South China Morning Post reported scmp.com

Source: first published by the 311 Institute on 10 August 2023. Cite as: Griffin, M. (2023). Chinese researchers increase quantum computing speed by 180 Million fold. 311 Institute. https://www.311institute.com/chinese-researchers-increase-quantum-computing-speed-by-180-million-fold/

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