MilestoneQuantum advantageConfirmed
Classical computers catch up with Google's 2019 quantum supremacy task
Aug 2022
Researchers at the Chinese Academy of Sciences led by Pan Zhang report in Physical Review Letters that they produced a million samples for Google's 53-qubit Sycamore task in about 15 hours on 512 GPUs. They estimate an exascale supercomputer could do it faster than Sycamore did.
Why it matters
A task Google said would take a supercomputer 10,000 years was done classically in hours, showing that quantum advantage claims depend on the best classical methods available at the time.
Pan Zhang · Feng Pan · Keyang Chen · CAS · Google
Sources (4)
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arXiv (Pan, Chen and Zhang)
Solving the sampling problem of the Sycamore quantum circuits
“If our algorithm could be implemented with high efficiency on a modern supercomputer with ExaFLOPS performance, we estimate that ideally, the simulation would cost a few dozens of seconds, which is faster than Google's quantum hardware.”
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Physical Review Letters
Solving the Sampling Problem of the Sycamore Quantum Circuits
“Solving the Sampling Problem of the Sycamore Quantum Circuits”
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The Quantum Insider
Researchers Use Classical Supercomputer to Challenge Google's Quantum Supremacy Claim
“In a study published in the Physical Review of Letters, a research team from the Institute of Theoretical Physics at the Chinese Academy of Sciences, led by statistical physicist Pan Zhang, reported they beat Google's computer — Sycamore — at the same computational task that was examined in the 2019 study.”
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TechCrunch
Google's quantum supremacy usurped by researchers using ordinary supercomputer
“Zhang's group claims to have done it in 15 hours. And if they had access to a proper supercomputer like Summit, it might be accomplished in a handful of seconds — faster than Sycamore.”
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