| Simulating large quantum circuits on a small quantum computer T Peng, AW Harrow, M Ozols, X Wu Physical review letters 125 (15), 150504, 2020 | 288 | 2020 |
| High-speed device-independent quantum random number generation without a detection loophole Y Liu, X Yuan, MH Li, W Zhang, Q Zhao, J Zhong, Y Cao, YH Li, LK Chen, ... Physical review letters 120 (1), 010503, 2018 | 138 | 2018 |
| Optimal remote entanglement distribution W Dai, T Peng, MZ Win IEEE Journal on Selected Areas in Communications 38 (3), 540-556, 2020 | 91 | 2020 |
| Quantum uncertainty relation using coherence X Yuan, G Bai, T Peng, X Ma Physical Review A 96 (3), 032313, 2017 | 73 | 2017 |
| Markovian interference in experiments V Farias, A Li, T Peng, A Zheng Advances in Neural Information Processing Systems 35, 535-549, 2022 | 42 | 2022 |
| Quantum queuing delay W Dai, T Peng, MZ Win IEEE Journal on Selected Areas in Communications 38 (3), 605-618, 2020 | 36 | 2020 |
| Learning treatment effects in panels with general intervention patterns V Farias, A Li, T Peng Advances in Neural Information Processing Systems 34, 14001-14013, 2021 | 21 | 2021 |
| The limits to learning an SIR process: granular forecasting for COVID-19 J Baek, VF Farias, A Georgescu, R Levi, T Peng, D Sinha, J Wilde, ... arXiv preprint arXiv:2006.06373, 2020 | 18 | 2020 |
| Synthetically controlled bandits V Farias, C Moallemi, T Peng, A Zheng arXiv preprint arXiv:2202.07079, 2022 | 17 | 2022 |
| Uncertainty quantification for low-rank matrix completion with heterogeneous and sub-exponential noise V Farias, AA Li, T Peng International Conference on Artificial Intelligence and Statistics, 1179-1189, 2022 | 14 | 2022 |
| Correcting for interference in experiments: A case study at douyin V Farias, H Li, T Peng, X Ren, H Zhang, A Zheng Proceedings of the 17th ACM Conference on Recommender Systems, 455-466, 2023 | 13 | 2023 |
| The limits to learning a diffusion model J Baek, VF Farias, A Georgescu, R Levi, T Peng, D Sinha, J Wilde, ... Proceedings of the 22nd ACM Conference on Economics and Computation, 130-131, 2021 | 10 | 2021 |
| An Allometric Scaling for the Number of Representative Nodes in Social Networks L Zhao, T Peng International Conference on Network Science, 49-59, 2020 | 10 | 2020 |
| Efficient and robust physical layer key generation T Peng, W Dai, MZ Win MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 1-6, 2019 | 10 | 2019 |
| Fixing Inventory Inaccuracies At Scale VF Farias, AA Li, T Peng International Conference on Machine Learning (ICML), 2021, 2020 | 7* | 2020 |
| Optimal protocols for remote entanglement distribution W Dai, T Peng, MZ Win 2020 International Conference on Computing, Networking and Communications …, 2020 | 5 | 2020 |
| High speed self-testing quantum random number generation without detection loophole Y Liu, X Yuan, MH Li, W Zhang, Q Zhao, J Zhong, Y Cao, YH Li, LK Chen, ... Frontiers in Optics, FTh2E. 1, 2017 | 5 | 2017 |
| Tight detection efficiency bounds of Bell tests in no-signaling theories Z Cao, T Peng Physical Review A 94 (4), 042126, 2016 | 5 | 2016 |
| Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure L Costa, VF Farias, P Foncea, J Gan, A Garg, IR Montenegro, K Pathak, ... INFORMS Journal on Applied Analytics 53 (5), 336-349, 2023 | 3 | 2023 |
| Remote state preparation for multiple parties W Dai, T Peng, MZ Win ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
Vivek FariasMassachusetts Institute of Technologymit.edu의 이메일 확인됨