| Protocol discovery for the quantum control of majoranas by differentiable programming and natural evolution strategies L Coopmans, D Luo, G Kells, BK Clark, J Carrasquilla PRX Quantum 2 (2), 020332, 2021 | 37 | 2021 |
| Predicting gibbs-state expectation values with pure thermal shadows L Coopmans, Y Kikuchi, M Benedetti PRX Quantum 4 (1), 010305, 2023 | 21 | 2023 |
| Optimal control in disordered quantum systems L Coopmans, S Campbell, G De Chiara, A Kiely Physical Review Research 4 (4), 043138, 2022 | 9 | 2022 |
| Realization of quantum signal processing on a noisy quantum computer Y Kikuchi, C Mc Keever, L Coopmans, M Lubasch, M Benedetti npj Quantum Information 9 (1), 93, 2023 | 8 | 2023 |
| Dynamical phase error in interacting topological quantum memories L Coopmans, S Dooley, I Jubb, K Kavanagh, G Kells Physical Review Research 3 (3), 033105, 2021 | 5 | 2021 |
| PRX Quantum 2, 020332 (2021) L Coopmans, D Luo, G Kells, BK Clark, J Carrasquilla URL https://link. aps. org/doi/10.1103/PRXQuantum 2, 0 | 5 | |
| On the sample complexity of quantum boltzmann machine learning L Coopmans, M Benedetti arXiv preprint arXiv:2306.14969, 2023 | 4 | 2023 |
| Quantum Semidefinite Programming with Thermal Pure Quantum States O Watts, Y Kikuchi, L Coopmans arXiv preprint arXiv:2310.07774, 2023 | 1 | 2023 |
| Data-driven time propagation of quantum systems with neural networks J Nelson, L Coopmans, G Kells, S Sanvito Physical Review B 106 (4), 045402, 2022 | 1 | 2022 |
| On the control of quantum many-body systems L Coopmans PhD thesis, Trinity College Dublin, 2022. URL: http://hdl. handle. net/2262 …, 2022 | 1 | 2022 |
| Training quantum Boltzmann machines with the β-variational quantum eigensolver O Huijgen, L Coopmans, P Najafi, M Benedetti, HJ Kappen Machine Learning: Science and Technology 5 (2), 025017, 2024 | | 2024 |
| Apparatus And Method For Optimizing, Monitoring And Controlling A Real Physical System L Coopmans, Y Kikuchi, M Benedetti, M Fiorentini US Patent App. 18/201,410, 2023 | | 2023 |
