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Foundations for learning from noisy quantum experiments


Apr 28, 2022
Hsin-Yuan Huang, Steven T. Flammia, John Preskill

* 10 pages, 1 figure + 70 page appendix 

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Quantum advantage in learning from experiments


Dec 01, 2021
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean

* 6 pages, 17 figures + 46 page appendix; open-source code available at https://github.com/quantumlib/ReCirq/tree/master/recirq/qml_lfe 

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Provably efficient machine learning for quantum many-body problems


Jul 18, 2021
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill

* 10 pages, 12 figures + 57 page appendix 

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Information-theoretic bounds on quantum advantage in machine learning


Jan 07, 2021
Hsin-Yuan Huang, Richard Kueng, John Preskill

* 5 pages, 2 figures + 27-page appendix 

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Predicting Many Properties of a Quantum System from Very Few Measurements


Feb 18, 2020
Hsin-Yuan Huang, Richard Kueng, John Preskill

* 10 pages, 9 figures + 30 page appendix; supersedes arXiv:1908.08909; open source code available at https://github.com/momohuang/predicting-quantum-properties 

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