| Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control J Rabault, M Kuchta, A Jensen, U Réglade, N Cerardi Journal of fluid mechanics 865, 281-302, 2019 | 497 | 2019 |
| Irreversible qubit-photon coupling for the detection of itinerant microwave photons R Lescanne, S Deléglise, E Albertinale, U Réglade, T Capelle, E Ivanov, ... Physical Review X 10 (2), 021038, 2020 | 113 | 2020 |
| Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film V Belus, J Rabault, J Viquerat, Z Che, E Hachem, U Reglade AIP Advances 9 (12), 2019 | 67 | 2019 |
| One hundred second bit-flip time in a two-photon dissipative oscillator C Berdou, A Murani, U Reglade, WC Smith, M Villiers, J Palomo, ... PRX Quantum 4 (2), 020350, 2023 | 55 | 2023 |
| Quantum control of a cat qubit with bit-flip times exceeding ten seconds U Réglade, A Bocquet, R Gautier, J Cohen, A Marquet, E Albertinale, ... Nature, 1-6, 2024 | 44 | 2024 |
| Detecting itinerant microwave photons with engineered non-linear dissipation R Lescanne, S Deléglise, E Albertinale, U Réglade, T Capelle, E Ivanov, ... arXiv preprint arXiv:1902.05102, 2019 | 14 | 2019 |
| Deep reinforcement learning achieves flow control of the 2d karman vortex street J Rabault, U Reglade, N Cerardi, M Kuchta, A Jensen arXiv preprint arXiv:1808.10754, 2018 | 6 | 2018 |
| Exploiting locality and physical invariants to design effective deep reinforcement learning control of the unstable falling liquid film V Belus, J Rabault, J Viquerat, Z Che, E Hachem, U Reglade arXiv preprint arXiv:1910.07788, 2019 | 5 | 2019 |
| Harnessing two-photon dissipation for enhanced quantum measurement and control A Marquet, S Dupouy, U Réglade, A Essig, J Cohen, E Abertinale, ... arXiv preprint arXiv:2403.07744, 2024 | 2 | 2024 |
| Enhancing dissipative cat qubit protection by squeezing R Rousseau, D Ruiz, E Albertinale, P d'Avezac, D Banys, U Blandin, ... arXiv preprint arXiv:2502.07892, 2025 | | 2025 |
| Method of measuring an observable of a cat qubit S Jezouin, U Reglade, A Bocquet, A Marquet, B Huard | | 2024 |
| Quantum control of a cat-qubit with bit-flip times exceeding ten seconds A Bocquet, Z Leghtas, U Reglade, R Gautier, J Cohen, A Marquet, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Dissipative stabilization of a squeezed cat qubit R Rousseau, E Albertinale, A Bocquet, G Cardoso, J Cohen, N Cottet, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Encoding a cat-qubit in a 3D millisecond lifetime superconducting cavity U Reglade, A Murani, F Rautschke, S Polis, N Pankratova, E Albertinale, ... APS March Meeting Abstracts 2023, K75. 010, 2023 | | 2023 |
| A geometrical summation method for the Riemann z\^ eta function U Reglade arXiv preprint arXiv:1903.10853, 2019 | | 2019 |
| An Artificial Neural Network trained through Deep Reinforcement Learning achieves Active Flow Control of the 2D Karman Vortex Street behind a Cylinder at moderate Reynolds number J Rabault, N Cerardi, U Reglade, M Kuchta, A Jensen Bulletin of the American Physical Society 63, 2018 | | 2018 |
Jean RabaultZweryfikowany adres z met.no
