| A rigorous and robust quantum speed-up in supervised machine learning Y Liu, S Arunachalam, K Temme Nature Physics 17 (9), 1013-1017, 2021 | 621 | 2021 |
| Operational Resource Theory of Quantum Channels Y Liu, X Yuan Physical Review Research 2 (1), 012035, 2020 | 165 | 2020 |
| A polynomial-time classical algorithm for noisy random circuit sampling D Aharonov, X Gao, Z Landau, Y Liu, U Vazirani Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 945-957, 2023 | 100 | 2023 |
| One-Shot Coherence Dilution Q Zhao, Y Liu, X Yuan, E Chitambar, X Ma Physical Review Letters 120 (7), 070403, 2018 | 93 | 2018 |
| One-Shot Coherence Distillation: Towards Completing the Picture Q Zhao, Y Liu, X Yuan, E Chitambar, A Winter IEEE Transactions on Information Theory 65 (10), 6441-6453, 2019 | 65 | 2019 |
| Learning to Describe Scenes with Programs Y Liu, Z Wu, D Ritchie, WT Freeman, JB Tenenbaum, J Wu International Conference on Learning Representations, 2019 | 61 | 2019 |
| Noise and the frontier of quantum supremacy A Bouland, B Fefferman, Z Landau, Y Liu 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 60 | 2022 |
| Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits M Gong, X Yuan, S Wang, Y Wu, Y Zhao, C Zha, S Li, Z Zhang, Q Zhao, ... National Science Review 9 (1), nwab011, 2022 | 60* | 2022 |
| Benchmarking near-term quantum computers via random circuit sampling Y Liu, M Otten, R Bassirianjahromi, L Jiang, B Fefferman arXiv preprint arXiv:2105.05232, 2021 | 55 | 2021 |
| The learnability of Pauli noise S Chen, Y Liu, M Otten, A Seif, B Fefferman, L Jiang Nature Communications 14 (1), 52, 2023 | 39 | 2023 |
| Universal and operational benchmarking of quantum memories X Yuan, Y Liu, Q Zhao, B Regula, J Thompson, M Gu npj Quantum Information 7 (1), 108, 2021 | 38* | 2021 |
| Distributed quantum inner product estimation A Anshu, Z Landau, Y Liu Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 27 | 2022 |
| Incompressibility and spectral gaps of random circuits CF Chen, J Haah, J Haferkamp, Y Liu, T Metger, X Tan arXiv preprint arXiv:2406.07478, 2024 | 20 | 2024 |
| Efficient approximate unitary designs from random Pauli rotations J Haah, Y Liu, X Tan arXiv preprint arXiv:2402.05239, 2024 | 18 | 2024 |
| Quantum coherence via conditional entropy Y Liu, Q Zhao, X Yuan Journal of Physics A: Mathematical and Theoretical 51 (41), 414018, 2018 | 15 | 2018 |
| Learning shallow quantum circuits HY Huang, Y Liu, M Broughton, I Kim, A Anshu, Z Landau, JR McClean Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1343-1351, 2024 | 11 | 2024 |
| Quantum computational advantage with constant-temperature Gibbs sampling T Bergamaschi, CF Chen, Y Liu arXiv preprint arXiv:2404.14639, 2024 | 9 | 2024 |
| A generalized cycle benchmarking algorithm for characterizing mid-circuit measurements Z Zhang, S Chen, Y Liu, L Jiang arXiv preprint arXiv:2406.02669, 2024 | 5 | 2024 |
| Estimating Coherence Measures with Untrusted Devices X Zhang, Y Liu, X Yuan Advanced Quantum Technologies 4 (6), 2000153, 2021 | 5* | 2021 |
| Learning quantum states prepared by shallow circuits in polynomial time Z Landau, Y Liu arXiv preprint arXiv:2410.23618, 2024 | 1 | 2024 |
Xiao Yuan（袁骁）CFCS, Peking UniversityDirección de correo verificada de pku.edu.cn
