Hsin-Yuan Huang (Robert)

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John PreskillRichard P. Feynman Professor of Theoretical Physics, California Institute of TechnologyVerifierad e-postadress på caltech.edu
Richard KuengJohannes Kepler University Linz, AustriaVerifierad e-postadress på jku.at
Jordan CotlerHarvard UniversityVerifierad e-postadress på fas.harvard.edu
Jarrod R. McCleanSenior Staff Research Scientist - GoogleVerifierad e-postadress på google.com
Sitan ChenAssistant Professor of Computer Science, Harvard UniversityVerifierad e-postadress på seas.harvard.edu
Patrick ColesNormal ComputingVerifierad e-postadress på normalcomputing.ai
Lukasz CincioTheoretical Division, Los Alamos National LaboratoryVerifierad e-postadress på lanl.gov
Ryan BabbushDirector of Research, Quantum Algorithms & Applications - GoogleVerifierad e-postadress på google.com
Hartmut NevenVP Engineering, Quantum AI, GoogleVerifierad e-postadress på google.com
Matthias C. CaroAssistant Professor, University of WarwickVerifierad e-postadress på warwick.ac.uk
Jerry LiUniversity of WashingtonVerifierad e-postadress på cs.washington.edu
Soonwon ChoiMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Marco CerezoStaff Scientist, Los Alamos National LaboratoryVerifierad e-postadress på lanl.gov
Manuel EndresCaltechVerifierad e-postadress på caltech.edu
Joonhee ChoiAssistant Professor, Stanford UniversityVerifierad e-postadress på stanford.edu
Andreas ElbenPaul Scherrer InstituteVerifierad e-postadress på psi.ch
Fernando BrandaoAWS and CaltechVerifierad e-postadress på caltech.edu
Andrew SornborgerResearch Scientist, Information Sciences CCS-3, Los Alamos National LaboratoryVerifierad e-postadress på lanl.gov
Adam L. ShawStanford Science Postdoc Fellow, Stanford UniversityVerifierad e-postadress på stanford.edu
Daniel K. MarkPhD Candidate in Physics, MITVerifierad e-postadress på mit.edu

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Hsin-Yuan Huang (Robert)

Andra namnHsin-Yuan Huang

California Institute of Technology, Google Quantum AI

Verifierad e-postadress på caltech.edu - Startsida

Quantum Information Machine Learning Quantum Many-Body Physics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Predicting many properties of a quantum system from very few measurements HY Huang, R Kueng, J Preskill Nature Physics, 2020	1311	2020
Power of data in quantum machine learning HY Huang, M Broughton, M Mohseni, R Babbush, S Boixo, H Neven, ... Nature communications 12 (1), 2631, 2021	805	2021
Quantum advantage in learning from experiments HY Huang, M Broughton, J Cotler, S Chen, J Li, M Mohseni, H Neven, ... Science 376 (6598), 1182-1186, 2022	539	2022
Challenges and opportunities in quantum machine learning M Cerezo, G Verdon, HY Huang, L Cincio, PJ Coles Nature Computational Science 2 (9), 567-576, 2022	456	2022
Tensorflow quantum: A software framework for quantum machine learning M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2020	437	2020
Generalization in quantum machine learning from few training data MC Caro, HY Huang, M Cerezo, K Sharma, A Sornborger, L Cincio, ... Nature communications 13 (1), 4919, 2022	400	2022
The randomized measurement toolbox A Elben, ST Flammia, HY Huang, R Kueng, J Preskill, B Vermersch, ... Nature Reviews Physics 5 (1), 9-24, 2023	349	2023
Information-theoretic bounds on quantum advantage in machine learning HY Huang, R Kueng, J Preskill Physical Review Letters 126 (19), 190505, 2021	301	2021
Provably efficient machine learning for quantum many-body problems HY Huang, R Kueng, G Torlai, VV Albert, J Preskill Science 377 (6613), eabk3333, 2022	282	2022
Mixed-state entanglement from local randomized measurements A Elben, R Kueng, HY Huang, R van Bijnen, C Kokail, M Dalmonte, ... Physical Review Letters 125 (20), 200501, 2020	273	2020
Fusionnet: Fusing via fully-aware attention with application to machine comprehension HY Huang, C Zhu, Y Shen, W Chen International Conference on Learning Representations (ICLR) 2018, 2017	213	2017
Efficient estimation of pauli observables by derandomization HY Huang, R Kueng, J Preskill Physical review letters 127 (3), 030503, 2021	204	2021
Near-term quantum algorithms for linear systems of equations with regression loss functions HY Huang, K Bharti, P Rebentrost New Journal of Physics 23 (11), 113021, 2021	194*	2021
Preparing random states and benchmarking with many-body quantum chaos J Choi, AL Shaw, IS Madjarov, X Xie, R Finkelstein, JP Covey, JS Cotler, ... Nature 613 (7944), 468-473, 2023	170*	2023
Flowqa: Grasping flow in history for conversational machine comprehension HY Huang, E Choi, W Yih International Conference on Learning Representations (ICLR) 2019, 2018	145	2018
Exponential separations between learning with and without quantum memory S Chen, J Cotler, HY Huang, J Li 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS), 2021	138	2021
Concentration for random product formulas CF Chen, HY Huang, R Kueng, JA Tropp PRX Quantum 2 (4), 040305, 2021	103*	2021
Emergent quantum state designs from individual many-body wave functions JS Cotler, DK Mark, HY Huang, F Hernandez, J Choi, AL Shaw, M Endres, ... PRX quantum 4 (1), 010311, 2023	99	2023
Out-of-distribution generalization for learning quantum dynamics MC Caro, HY Huang, N Ezzell, J Gibbs, AT Sornborger, L Cincio, ... Nature Communications 14 (1), 3751, 2023	98	2023
Learning many-body Hamiltonians with Heisenberg-limited scaling HY Huang, Y Tong, D Fang, Y Su Physical Review Letters 130 (20), 200403, 2023	86	2023

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