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Quantum computer systems have the potential to revolutionize drug discovery, supplies design, and basic physics—assuming we are able to make them work reliably.
Sure issues that will take a conventional pc billions of years to resolve would solely take a quantum pc a couple of hours. Nonetheless, these new processors are extra prone to noise than conventional ones. If we wish to make quantum computer systems extra dependable, particularly on a big scale, we have to precisely establish and proper these errors.
In a paper printed right now in Nature, we introduce AlphaQubit, an AI-based decoder that identifies quantum computing errors with state-of-the-art accuracy. This collaborative work introduced collectively Google DeepMind's machine studying experience and Google Quantum AI's error-correction experience to speed up progress in constructing a dependable quantum pc.
Precisely figuring out errors is a vital step in enabling quantum computer systems to carry out lengthy calculations at scale, opening the doorways to scientific breakthroughs and plenty of new areas of discovery.
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