Scientists say they ve debunked Google rsquo s quantum supremacy claims once and for all TechRadar
Scientists say they ve debunked Google s quantum supremacy claims once and for all TechRadar Skip to main content TechRadar is supported by its audience. When you purchase through links on our site, we may earn an affiliate commission. Here's why you can trust us. Scientists say they ve debunked Google s quantum supremacy claims once and for all By Joel Khalili published 5 August 2022 New paper shows traditional hardware can match the performance of Google's quantum computer An artist's rendering of Google's Sycamore quantum computer. (Image credit: Google) Audio player loading… A team of scientists in China claim to have replicated the performance of Google's Sycamore quantum computer using traditional hardware, thereby undermining the suggestion the company has achieved quantum supremacy. As reported by Science magazine, the scientists used a system comprised of 512 GPUs to complete the same calculation developed by Google to demonstrate it had passed the quantum supremacy milestone back in 2019. The endeavor was led by statistical physicist Pan Zhang, who said his team's supercomputer performed the calculation 10 billion times faster than Google had thought possible. Quest for quantum supremacy Quantum supremacy (or quantum advantage) can be defined as the point at which quantum computers can outstrip the maximum potential performance of classical supercomputers in a particular discipline. Three years ago, Google announced it had achieved this feat with Sycamore, which it said took just 200 seconds to complete a statistical mathematics problem that would take a supercomputer 10,000 years to solve. The problem was architected in such a way as to accentuate both the attributes of quantum computers, which exploit a phenomenon known as superposition to speed up calculations, and the limitations of traditional systems. An IBM quantum computer. (Image credit: IBM) However, the claim was treated with suspicion by industry players from the beginning. The loudest critic was IBM, which claimed its Summit supercomputer would be capable of solving the same puzzle in two and a half days, given enough time to perfect the implementation. And now, a paper published by Zhang and his colleagues has cast further doubt over Google's claims. As explained by Science, to replicate the performance of Sycamore, the scientists first had to reconfigure the problem as a 3D mathematical array called a tensor network. This meant they could use the system's GPUs to perform calculations in parallel. The low level of accuracy of Sycamore's computation gave the Chinese team additional room for manoeuvre. By minimizing the accuracy target, they were able to accelerate the calculation by hundreds of times, replicating the same level of performance the quantum machine had achieved. Where next Although it appears Google may have been hasty in its celebrations, it is expected that the quantum supremacy milestone will fall sooner rather than later by virtue of the level of investment going into R&D activity in the space. A lot of work is going into improving performance by increasing the number of qubits on a quantum processor, but researchers are also investigating opportunities related to qubit design, the pairing of quantum and classical computers, new refrigeration techniques and more.Read more> Nvidia wants to mix quantum and classical computing > Strip away the virtualization layer with the best bare metal hosting around > Intel is making some mysterious moves in quantum computing Recently, IBM also suggested that focusing investment on error mitigation might bear significant fruit at this stage in the development of quantum systems, paving a route towards quantum supremacy. The ability to quiet certain sources of error will allow for increasingly complex quantum workloads to be executed with reliable results, the company says. "At IBM Quantum, we plan to continue developing our hardware and software with this path in mind," wrote the firm in a blog post. "At the same time, together with our partners and the growing quantum community, we will continue expanding the list of problems that we can map to quantum circuits and develop better ways of comparing quantum circuit approaches to traditional classical methods to determine if a problem can demonstrate quantum advantage. We fully expect that this continuous path that we have outlined will bring us practical quantum computing."The advance of quantum computers will require whole load of the best encryption technologies Via Science (opens in new tab) Joel KhaliliNews and Features EditorJoel Khalili is the News and Features Editor at TechRadar Pro, covering cybersecurity, data privacy, cloud, AI, blockchain, internet infrastructure, 5G, data storage and computing. He's responsible for curating our news content, as well as commissioning and producing features on the technologies that are transforming the way the world does business. See more Computing news Are you a pro? Subscribe to our newsletter Sign up to theTechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Thank you for signing up to TechRadar. You will receive a verification email shortly. There was a problem. Please refresh the page and try again. MOST POPULARMOST SHARED1PC gamers are shunning high-end GPUs – spelling trouble for the Nvidia RTX 40902Canceled by Netflix: it's the end of the road for Firefly Lane3It looks like Fallout's spiritual successor is getting a PS5 remaster4Beg all you want - these beer game devs will not break the laws of physics for you 51000TB SSDs could become mainstream by 2030 as Samsung plans 1000-layer NAND1We finally know what 'Wi-Fi' stands for - and it's not what you think2Brave is about to solve one of the most frustrating problems with browsing the web3She-Hulk episode 8 just confirmed Netflix's Daredevil TV show is canon in the MCU4A whole new breed of SSDs is about to break through5Logitech's latest webcam and headset want to relieve your work day frustrations Technology Magazines (opens in new tab)● (opens in new tab)The best tech tutorials and in-depth reviewsFrom$12.99 (opens in new tab)View (opens in new tab)