| Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles C Dalyac, L Henriet, E Jeandel, W Lechner, S Perdrix, M Porcheron, ... EPJ Quantum Technology 8 (1), 12, 2021 | 48 | 2021 |
| Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays H Silvério, S Grijalva, C Dalyac, L Leclerc, PJ Karalekas, N Shammah, ... Quantum 6, 629, 2022 | 37 | 2022 |
| Quantum evolution kernel: Machine learning on graphs with programmable arrays of qubits LP Henry, S Thabet, C Dalyac, L Henriet Physical Review A 104 (3), 032416, 2021 | 36 | 2021 |
| Quantum feature maps for graph machine learning on a neutral atom quantum processor B Albrecht, C Dalyac, L Leclerc, L Ortiz-Gutiérrez, S Thabet, ... Physical Review A 107 (4), 042615, 2023 | 19 | 2023 |
| Classically approximating variational quantum machine learning with random fourier features J Landman, S Thabet, C Dalyac, H Mhiri, E Kashefi International Conference on Learning Representations (ICLR 2023), 2022 | 18 | 2022 |
| Exploring the impact of graph locality for the resolution of the maximum-independent-set problem with neutral atom devices C Dalyac, LP Henry, M Kim, J Ahn, L Henriet Physical Review A 108 (5), 052423, 2023 | 5* | 2023 |
| Quantum many-body dynamics for combinatorial optimisation and machine learning C Dalyac Sorbonne Université, 2023 | 1 | 2023 |
| Graph Algorithms with Neutral Atom Quantum Processors C Dalyac, L Leclerc, L Vignoli, M Djellabi, WS Coelho, B Ximenez, ... arXiv preprint arXiv:2403.11931, 2024 | | 2024 |
Loïc HenrietPasqalBestätigte E-Mail-Adresse bei pasqal.io
