Quantum computer systems have the potential to revolutionize drug discovery, materials design and elementary physics — that’s, if we will get them to work reliably.
Sure issues, which might take a standard pc billions of years to resolve, would take a quantum pc simply hours. Nevertheless, these new processors are extra vulnerable to noise than standard ones. If we wish to make quantum computer systems extra dependable, particularly at scale, we have to precisely determine and proper these errors.
In a paper published today 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 data and Google Quantum AI’s error correction experience to speed up progress on constructing a dependable quantum pc.
Precisely figuring out errors is a crucial step in the direction of making quantum computer systems able to performing lengthy computations at scale, opening the doorways to scientific breakthroughs and plenty of new areas of discovery.
