Google DeepMind has come up with an error correction technique it says will make quantum computers more reliable, particularly at scale. While quantum computing holds tremendous promise — potentially able to solve in just a few hours problems it would take a conventional computer “billions of years” to figure out, Google claims — the systems are notoriously unstable, due to the delicacy of the “quantum state.” AlphaQubit is an AI-based decoder that identifies quantum computing errors with accuracy. Combining DeepMind’s machine learning expertise with Google Quantum AI error correction, the technique advances efforts to create a reliable quantum computer. Continue reading Google DeepMind Touts AI-Powered Quantum Error Detection

Australian researchers have had a breakthrough in quantum computing, proving that nearly error-free processing is possible, which could lead to the possibility of silicon-based quantum machines whose manufacture could be compatible with today’s semiconductor manufacturing technology. “Our operations were 99 percent error-free,” said University of New South Wales (UNSW Sydney) professor Andrea Morello, who led the work with partners in the U.S., Japan, Egypt, and at the University of Technology Sydney (UTS) and the University of Melbourne. “When the errors are so rare, it becomes possible to detect them and correct them when they occur.” Continue reading Quantum Computing in Silicon Achieves 99 Percent Accuracy

Quantum computing is coming and it’s safe to say that only a handful of people know what it is. At NAB 2019, USC Viterbi School of Engineering Ph.D. candidate Bibek Pokharel did an excellent job of breaking down the basics. First, according to quantum computer scientists, all the computers we have used thus far are “classical computers.” Although IBM, Intel, Google, Microsoft, Rigetti and D-Wave have built quantum computers, the task is so incredibly complex that you won’t be able to purchase one at Best Buy. Continue reading Quantum Computing Era Approaches as Moore’s Law Ends