| Modern applications of machine learning in quantum sciences A Dawid, J Arnold, B Requena, A Gresch, M Płodzień, K Donatella, ... arXiv preprint arXiv:2204.04198, 2022 | 104* | 2022 |
| Dynamics with autoregressive neural quantum states: Application to critical quench dynamics K Donatella, Z Denis, A Le Boité, C Ciuti Physical Review A 108 (2), 022210, 2023 | 36* | 2023 |
| Thermodynamic AI and the fluctuation frontier PJ Coles, C Szczepanski, D Melanson, K Donatella, AJ Martinez, F Sbahi 2023 IEEE International Conference on Rebooting Computing (ICRC), 1-10, 2023 | 20* | 2023 |
| Thermodynamic linear algebra M Aifer, K Donatella, MH Gordon, S Duffield, T Ahle, D Simpson, G Crooks, ... npj Unconventional Computing 1 (1), 13, 2024 | 17* | 2024 |
| Efficient estimation of trainability for variational quantum circuits V Heyraud, Z Li, K Donatella, A Le Boité, C Ciuti PRX Quantum 4 (4), 040335, 2023 | 15 | 2023 |
| Continuous-time dynamics and error scaling of noisy highly entangling quantum circuits K Donatella, Z Denis, A Le Boité, C Ciuti Physical Review A 104 (6), 062407, 2021 | 14 | 2021 |
| Thermodynamic computing system for AI applications D Melanson, MA Khater, M Aifer, K Donatella, MH Gordon, T Ahle, ... arXiv preprint arXiv:2312.04836, 2023 | 9 | 2023 |
| Error mitigation for thermodynamic computing M Aifer, D Melanson, K Donatella, G Crooks, T Ahle, PJ Coles arXiv preprint arXiv:2401.16231, 2024 | 6* | 2024 |
| Machine learning via relativity-inspired quantum dynamics Z Li, V Heyraud, K Donatella, Z Denis, C Ciuti Physical Review A 106 (3), 032413, 2022 | 5 | 2022 |
| Thermodynamic bayesian inference M Aifer, S Duffield, K Donatella, D Melanson, P Klett, Z Belateche, ... arXiv preprint arXiv:2410.01793, 2024 | 4 | 2024 |
| Entanglement dynamics in dissipative photonic Mott insulators K Donatella, A Biella, A Le Boité, C Ciuti Physical Review Research 2 (4), 043232, 2020 | 4 | 2020 |
| Thermodynamic natural gradient descent K Donatella, S Duffield, M Aifer, D Melanson, G Crooks, PJ Coles arXiv preprint arXiv:2405.13817, 2024 | 3 | 2024 |
| Thermodynamic algorithms for quadratic programming PL Bartosik, K Donatella, M Aifer, D Melanson, M Perarnau-Llobet, ... arXiv preprint arXiv:2411.14224, 2024 | 2 | 2024 |
| Scalable Bayesian Learning with posteriors S Duffield, K Donatella, J Chiu, P Klett, D Simpson arXiv preprint arXiv:2406.00104, 2024 | 1 | 2024 |
| Exploiting inductive biases in video modeling through neural cdes J Chiu, S Duffield, M Hunter-Gordon, K Donatella, M Aifer, A Gu arXiv preprint arXiv:2311.04986, 2023 | 1 | 2023 |
| Scalable Thermodynamic Second-order Optimization K Donatella, S Duffield, D Melanson, M Aifer, P Klett, R Salegame, ... arXiv preprint arXiv:2502.08603, 2025 | | 2025 |
| Nonequilibrium dynamics of closed and open quantum systems K Donatella Université Paris Cité, 2022 | | 2022 |
| Continuous-time dynamics of noisy quantum circuits with arbitrary neural-network ansätze K Donatella, Z Denis, A Le Boité, C Ciuti APS March Meeting Abstracts 2022, K40. 013, 2022 | | 2022 |
Patrick ColesNormal ComputingVerified email at normalcomputing.ai