A message from John Furrier, co-founder of SiliconANGLE:

by Mike Wheatley

Google DeepMind’s quantum research team says it’s using advanced artificial intelligence algorithms to solve one of the biggest challenges that prevents them from building a reliable quantum computer – error correction.

In a paper published in the journal Nature, the Google DeepMind and Quantum AI teams introduced a new, AI-powered decoder system for quantum computers that can identify computing errors with unparalleled accuracy. Called AlphaQubit, it’s the result of a collaboration that brings together Google DeepMind’s expertise in machine learning with Google Quantum AI’s proficiency in quantum machines.

In the research paper, the authors explained that the ability to accurately detect quantum computing errors is critical for making reliable machines that can scale to tackle the world’s biggest computational challenges. It’s a key step that may one day pave the way to numerous scientific breakthroughs that classical computers will never be able to achieve.

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