We demonstrated verifiable quantum advantage with Quantum Echoes. Running 13,000x faster than leading supercomputers, this represents a significant step toward real-world applications. Watch → goo.gle/48Gnbtl
Like an orchestra, quantum processors must stay perfectly in tune. Our research uses reinforcement learning to continuously correct system drift, akin to tuning the instruments while the music plays.
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Apply now for Google’s academic research awards, a global open call for proposals on groundbreaking foundational and applied research in computing and technology. This cycle, Google is interested in proposals on early fault tolerant quantum computing algorithms and applications,
Published today in @Nature: We've unified calibration with computation on our Willow processor, training a reinforcement learning agent to stabilize the logical qubit and pave the way towards a quantum computer that continuously learns from its errors.
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Studying particle diffusion in quantum systems is a major classical computing challenge. Our Willow processor was used to demonstrate disorder-free localization via a quantum algorithm which offers a polynomial speedup for disorder sampling.
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