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Revisiting dequantization and quantum advantage in learning tasks


Dec 06, 2021
Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean

* 6 pages, 1 figure; v2: further exposition added 

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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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Exponential separations between learning with and without quantum memory


Nov 18, 2021
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li

* 77 pages, 2 figures, many diagrams; accepted to FOCS 2021; v2: typos corrected 

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A Hierarchy for Replica Quantum Advantage


Nov 10, 2021
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li

* 3+17 pages, 2 figures 

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Generalization in quantum machine learning from few training data


Nov 09, 2021
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, Patrick J. Coles

* 14+25 pages, 4+1 figures 

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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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Power of data in quantum machine learning


Nov 03, 2020
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean


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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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FlowQA: Grasping Flow in History for Conversational Machine Comprehension


Oct 06, 2018
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih

* 11 pages, 4 figures 

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FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension


Feb 04, 2018
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen

* Published in Sixth International Conference on Learning Representations (ICLR), 2018 

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