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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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Proof methods for robust low-rank matrix recovery


Jun 08, 2021
Tim Fuchs, David Gross, Peter Jung, Felix Krahmer, Richard Kueng, Dominik Stöger

* 39 pages, 6 figures 

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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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Predicting Features of Quantum Systems using Classical Shadows


Aug 23, 2019
Hsin-Yuan Huang, Richard Kueng

* 8 pages, 6 figures + 10 page appendix and one reference to Norse mythology 

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A unifying framework for relaxations of the causal assumptions in Bell's theorem


Nov 17, 2014
Rafael Chaves, Richard Kueng, Jonatan Bohr Brask, David Gross

* Phys. Rev. Lett. 114, 140403 (2015) 
* 6 pages + appendix, 5 figures 

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