Hsin-Yuan Huang (Robert)
Hsin-Yuan Huang (Robert)
Inne imiona/nazwiskaHsin-Yuan Huang
Zweryfikowany adres z caltech.edu - Strona główna
Cytowane przez
Cytowane przez
Predicting many properties of a quantum system from very few measurements
HY Huang, R Kueng, J Preskill
Nature Physics, 2020
Power of data in quantum machine learning
JRMC Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush ...
Nature communications 12 (1), 2631, 2021
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
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
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
Mixed-state entanglement from local randomized measurements
A Elben, R Kueng, HYR Huang, R van Bijnen, C Kokail, M Dalmonte, ...
Physical Review Letters 125 (20), 200501, 2020
Information-theoretic bounds on quantum advantage in machine learning
HY Huang, R Kueng, J Preskill
Physical Review Letters 126 (19), 190505, 2021
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
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
Provably efficient machine learning for quantum many-body problems
HY Huang, R Kueng, G Torlai, VV Albert, J Preskill
Science 377 (6613), eabk3333, 2022
Flowqa: Grasping flow in history for conversational machine comprehension
HY Huang, E Choi, W Yih
International Conference on Learning Representations (ICLR) 2019, 2018
The randomized measurement toolbox
A Elben, ST Flammia, HY Huang, R Kueng, J Preskill, B Vermersch, ...
Nature Reviews Physics 5 (1), 9-24, 2023
Efficient estimation of pauli observables by derandomization
HY Huang, R Kueng, J Preskill
Physical review letters 127 (3), 030503, 2021
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
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
Concentration for random product formulas
CF Chen, HY Huang, R Kueng, JA Tropp
PRX Quantum 2 (4), 040305, 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
Linear and kernel classification: When to use which?
HY Huang, CJ Lin
Proceedings of the 2016 SIAM International Conference on Data Mining, 216-224, 2016
Nearly tight Trotterization of interacting electrons
Y Su, HY Huang, ET Campbell
Quantum 5, 495, 2021
Dissecting the human protein-protein interaction network via phylogenetic decomposition
CY Chen, A Ho, HY Huang, HF Juan, HC Huang
Scientific reports 4 (1), 7153, 2014
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20