Predicting many properties of a quantum system from very few measurements HY Huang, R Kueng, J Preskill Nature Physics, 2020 | 983 | 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 | 817* | 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 | 412 | 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 | 378 | 2020 |
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 | 291 | 2022 |
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 | 285 | 2022 |
Information-theoretic bounds on quantum advantage in machine learning HY Huang, R Kueng, J Preskill Physical Review Letters 126 (19), 190505, 2021 | 241 | 2021 |
The randomized measurement toolbox A Elben, ST Flammia, HY Huang, R Kueng, J Preskill, B Vermersch, ... Nature Reviews Physics 5 (1), 9-24, 2023 | 231 | 2023 |
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 | 220 | 2020 |
Provably efficient machine learning for quantum many-body problems HY Huang, R Kueng, G Torlai, VV Albert, J Preskill Science 377 (6613), eabk3333, 2022 | 207 | 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 | 206 | 2017 |
Efficient estimation of pauli observables by derandomization HY Huang, R Kueng, J Preskill Physical review letters 127 (3), 030503, 2021 | 171 | 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 | 168* | 2021 |
Flowqa: Grasping flow in history for conversational machine comprehension HY Huang, E Choi, W Yih International Conference on Learning Representations (ICLR) 2019, 2018 | 134 | 2018 |
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 | 116* | 2023 |
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 | 104 | 2021 |
Concentration for random product formulas CF Chen, HY Huang, R Kueng, JA Tropp PRX Quantum 2 (4), 040305, 2021 | 81* | 2021 |
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 | 64 | 2023 |
Nearly tight Trotterization of interacting electrons Y Su, HY Huang, ET Campbell Quantum 5, 495, 2021 | 64 | 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 | 61 | 2023 |