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

The 10th Amazon Web Services re:Invent cloud computing conference showcased faster chips, better developer tools, smarter AI and two new automotive initiatives. AWS CEO Adam Selipsky’s keynote led with the company’s next-generation processor, the Arm-based Graviton3, and culminated with a peek under the hood at AWS Automotive and AWS IoT FleetWise. Collecting data and spotting trends are enterprise priorities, and AWS is doing its part to advance artificial intelligence and machine learning across that matrix in the cloud. “We know your data is on a journey — and all the stops on this journey matter,” Selipsky said. Continue reading AWS re:Invent Showcases Sizzling Chips, New Tools for Cars