| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 879 | 2022 |
| Suppressing quantum errors by scaling a surface code logical qubit Nature 614 (7949), 676-681, 2023 | 432 | 2023 |
| Measurement-induced entanglement and teleportation on a noisy quantum processor Nature 622 (7983), 481-486, 2023 | 74 | 2023 |
| Phase transition in random circuit sampling A Morvan, B Villalonga, X Mi, S Mandra, A Bengtsson, PV Klimov, Z Chen, ... arXiv preprint arXiv:2304.11119, 2023 | 70 | 2023 |
| Noise-resilient edge modes on a chain of superconducting qubits X Mi, M Sonner, MY Niu, KW Lee, B Foxen, R Acharya, I Aleiner, ... Science 378 (6621), 785-790, 2022 | 59 | 2022 |
| Formation of robust bound states of interacting microwave photons A Morvan, TI Andersen, X Mi, C Neill, A Petukhov, K Kechedzhi, ... Nature 612 (7939), 240-245, 2022 | 49 | 2022 |
| Purification-based quantum error mitigation of pair-correlated electron simulations TE O’Brien, G Anselmetti, F Gkritsis, VE Elfving, S Polla, WJ Huggins, ... Nature Physics 19 (12), 1787-1792, 2023 | 48 | 2023 |
| Deep networks and the multiple manifold problem S Buchanan, D Gilboa, J Wright arXiv preprint arXiv:2008.11245, 2020 | 45 | 2020 |
| Dynamical isometry and a mean field theory of LSTMs and GRUs D Gilboa, B Chang, M Chen, G Yang, SS Schoenholz, EH Chi, ... arXiv preprint arXiv:1901.08987, 2019 | 39 | 2019 |
| Non-Abelian braiding of graph vertices in a superconducting processor Nature 618 (7964), 264-269, 2023 | 37 | 2023 |
| Efficient dictionary learning with gradient descent D Gilboa, S Buchanan, J Wright International Conference on Machine Learning, 2252-2259, 2019 | 37 | 2019 |
| Stochastic bouncy particle sampler A Pakman, D Gilboa, D Carlson, L Paninski International Conference on Machine Learning, 2741-2750, 2017 | 37 | 2017 |
| On quantum backpropagation, information reuse, and cheating measurement collapse A Abbas, R King, HY Huang, WJ Huggins, R Movassagh, D Gilboa, ... Advances in Neural Information Processing Systems 36, 2024 | 27 | 2024 |
| Estimating the unique information of continuous variables A Pakman, A Nejatbakhsh, D Gilboa, A Makkeh, L Mazzucato, M Wibral, ... Advances in neural information processing systems 34, 20295-20307, 2021 | 27 | 2021 |
| Dynamics of magnetization at infinite temperature in a Heisenberg spin chain E Rosenberg, TI Andersen, R Samajdar, A Petukhov, JC Hoke, D Abanin, ... Science 384 (6691), 48-53, 2024 | 23 | 2024 |
| Stable quantum-correlated many-body states through engineered dissipation X Mi, AA Michailidis, S Shabani, KC Miao, PV Klimov, J Lloyd, ... Science 383 (6689), 1332-1337, 2024 | 21 | 2024 |
| Lily Laws, Joonho Lee, Kenny Lee, Brian J R Acharya, I Aleiner, R Allen, TI Andersen, M Ansmann, F Arute, K Arya, ... Lester, Alexander Lill, Wayne Liu, Aditya Locharla, Erik Lucero, Fionn D …, 2023 | 19 | 2023 |
| Beyond signal propagation: is feature diversity necessary in deep neural network initialization? Y Blumenfeld, D Gilboa, D Soudry International Conference on Machine Learning, 960-969, 2020 | 18 | 2020 |
| Stable quantum-correlated many body states via engineered dissipation X Mi, AA Michailidis, S Shabani, KC Miao, PV Klimov, J Lloyd, ... | 17 | 2023 |
| Observation of non-Abelian exchange statistics on a superconducting processor T Andersen, Y Lensky, K Kechedzhi, I Drozdov, A Bengtsson, S Hong, ... APS March Meeting Abstracts 2023, G65. 002, 2023 | 17 | 2023 |
John WrightElectrical Engineering, Columbia UniversityVerified email at columbia.edu
