Math Insights into Quantum Supremacy by Scott Aaronson
Scott Aaronson discusses the mathematical foundations of quantum supremacy experiments at the University of Houston. π

NSMIT Multimedia Channel
120 views β’ Feb 19, 2020

About this video
A talk by Scott Aaronson,Β UT Austin on Mathematical Aspects of Quantum Supremacy Experiments: University of Houston Math Department, Houston, TX, February 19, 2020.
Google's recent announcement of quantum computational supremacy was exciting from various physics and engineering standpoints, but what about math? In this talk, I'll explain the probability distributions over {0,1}53 from which Google extracted samples, and what we know about those distributions' statistical properties. As we'll see, this topic ties together everything from Archimedes' hat-box theorem of ~200BC, to the fact that amplitudes in quantum mechanics are over C rather than R. And it has implications for questions of such obvious relevance as: how do you verify, using a classical computer, that Google did its experiment correctly? And how confident can we be, in the present state of theoretical computer science, that the task Google perform really is classically hard?
Based in part on joint work with Lijie Chen, Sam Gunn, and others.
Google's recent announcement of quantum computational supremacy was exciting from various physics and engineering standpoints, but what about math? In this talk, I'll explain the probability distributions over {0,1}53 from which Google extracted samples, and what we know about those distributions' statistical properties. As we'll see, this topic ties together everything from Archimedes' hat-box theorem of ~200BC, to the fact that amplitudes in quantum mechanics are over C rather than R. And it has implications for questions of such obvious relevance as: how do you verify, using a classical computer, that Google did its experiment correctly? And how confident can we be, in the present state of theoretical computer science, that the task Google perform really is classically hard?
Based in part on joint work with Lijie Chen, Sam Gunn, and others.
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120
Duration
01:20:11
Published
Feb 19, 2020
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