Google says its new quantum computer takes less than three-and-a-half minutes to solve a problem that would take a supercomputer about 10,000 years. Credit: Japan National Institute of Advanced Industrial Science and Technology (AIST) The results of an experiment performed on Google’s Sycamore quantum computer demonstrate that theoretical quantum computing designs can work as expected, the company announced today in a paper published in the journal Nature. Formulating the problem was the first hurdle. The company’s research team eventually settled on comparing the Sycamore computer’s output to that of a modern, classical supercomputer in the task of reading the state of a pseudo-random quantum circuit. This results in a computational challenge that should be comparatively simple for Sycamore, but enormously difficult for a supercomputer equipped with traditional silicon. “Because there is no structure in random circuits that classical algorithms can exploit, emulating such quantum circuits typically takes an enormous amount of classical supercomputer effort,” the heads of the research team, John Martinis and Sergio Boixo, said in an official blog post. Sycamore’s design, however, dramatically simplifies the process. The quantum computer is constructed in a two-dimensional array of 54 transmon qubits, arranged in a rectangular lattice such that each qubit is connected to its four nearest neighbors. What that means, according to the researchers, is that Sycamore is able to change the values of its bits across the entire processor much more quickly than a classical computer can process 1s and 0s, fundamentally changing the way the system handles information. Google called it the “quantum supremacy” experiment, as it demonstrates that Sycamore and its descendants will be able to fundamentally outperform classical computers in certain types of processing. While the computations performed in the experiment aren’t in themselves particularly useful, CEO Sundar Pichai told MIT’s Technology Review that it’s similar to the Wright brothers’ first flight at Kitty Hawk. “The first plane flew only for 12 seconds, and so there is no practical application of that,” he said. “But it showed the possibility that a plane could fly.” The researchers said, however, that they expect the computational power of quantum computers to grow at a double-exponential rate, and that real-world uses of the technology weren’t far off, pledging to work with academia and the private sector to further develop quantum computing. Some critics took issue with Google’s claims, most notably quantum computing rival IBM, which said in a blog post responding to a leaked copy of the paper that the classical time frame presented in was much too long, and that Google’s researchers had failed to take into account the full capabilities of modern supercomputers “We argue that an ideal simulation of the same task can be performed on a classical system in 2.5 days and with far greater fidelity,” wrote IBM’s team. “We urge the community to treat claims that, for the first time, a quantum computer did something that a classical computer cannot with a large dose of skepticism due to the complicated nature of benchmarking an appropriate metric.” Related content news Cisco patches actively exploited zero-day flaw in Nexus switches The moderate-severity vulnerability has been observed being exploited in the wild by Chinese APT Velvet Ant. By Lucian Constantin Jul 02, 2024 1 min Network Switches Network Security news Nokia to buy optical networker Infinera for $2.3 billion Customers struggling with managing systems able to handle the scale and power needs of soaring generative AI and cloud operations is fueling the deal. By Evan Schuman Jul 02, 2024 4 mins Mergers and Acquisitions Networking news French antitrust charges threaten Nvidia amid AI chip market surge Enforcement of charges could significantly impact global AI markets and customers, prompting operational changes. By Prasanth Aby Thomas Jul 02, 2024 3 mins Technology Industry GPUs Cloud Computing news Lenovo adds new AI solutions, expands Neptune cooling range to enable heat reuse Lenovo’s updated liquid cooling addresses the heat generated by data centers running AI workloads, while new services help enterprises get started with AI. By Lynn Greiner Jul 02, 2024 4 mins Cooling Systems Generative AI Data Center PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe