Learning from Quantum Experiments

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United States Simons Institute for the Theory of Computing
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Published on ● Video Link: https://www.youtube.com/watch?v=RcLnmiVlIcA


Duration: 1:09:50
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30

Robert Huang (Caltech)
https://simons.berkeley.edu/talks/classical-shadows-and-quantum-learning
Quantum and Lattices Joint Reunion Workshop

I will talk about recent advances in understanding what we can learn from quantum experiments. The talk starts with an overview of this subfield, including the central questions and connections to related fields. I will cover techniques and results researchers developed in the past few years, including randomized measurement toolbox, machine learning techniques, shadow tomography, and provable quantum advantage. The talk includes several open questions in this subfield and new research directions.



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Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Quantum and Lattices Joint Reunion Workshop
Robert Huang