| Diagnosing barren plateaus with tools from quantum optimal control M Larocca, P Czarnik, K Sharma, G Muraleedharan, PJ Coles, M Cerezo Quantum 6, 824, 2022 | 64 | 2022 |
| Theory of overparametrization in quantum neural networks M Larocca, N Ju, D García-Martín, PJ Coles, M Cerezo arXiv preprint arXiv:2109.11676, 2021 | 58 | 2021 |
| Group-invariant quantum machine learning M Larocca, F Sauvage, FM Sbahi, G Verdon, PJ Coles, M Cerezo PRX Quantum 3 (3), 030341, 2022 | 38 | 2022 |
| Quantum control landscape for a two-level system near the quantum speed limit M Larocca, PM Poggi, DA Wisniacki Journal of Physics A: Mathematical and Theoretical 51 (38), 385305, 2018 | 33 | 2018 |
| Quantum metrology in a non-Markovian quantum evolution N Mirkin, M Larocca, D Wisniacki Physical Review A 102 (2), 022618, 2020 | 26 | 2020 |
| Exploiting landscape geometry to enhance quantum optimal control M Larocca, E Calzetta, DA Wisniacki Physical Review A 101 (2), 023410, 2020 | 17 | 2020 |
| Theory for equivariant quantum neural networks QT Nguyen, L Schatzki, P Braccia, M Ragone, PJ Coles, F Sauvage, ... arXiv preprint arXiv:2210.08566, 2022 | 15 | 2022 |
| Representation theory for geometric quantum machine learning M Ragone, P Braccia, QT Nguyen, L Schatzki, PJ Coles, F Sauvage, ... arXiv preprint arXiv:2210.07980, 2022 | 15 | 2022 |
| Building spatial symmetries into parameterized quantum circuits for faster training F Sauvage, M Larocca, PJ Coles, M Cerezo arXiv preprint arXiv:2207.14413, 2022 | 14 | 2022 |
| Theoretical guarantees for permutation-equivariant quantum neural networks L Schatzki, M Larocca, F Sauvage, M Cerezo arXiv preprint arXiv:2210.09974, 2022 | 12 | 2022 |
| Diagnosing barren plateaus with tools from quantum optimal control. 2021 M Larocca, P Czarnik, K Sharma, G Muraleedharan, PJ Coles, M Cerezo arXiv preprint arXiv:2105.14377, 0 | 10 | |
| Krylov-subspace approach for the efficient control of quantum many-body dynamics M Larocca, D Wisniacki Physical Review A 103 (2), 023107, 2021 | 6 | 2021 |
| Fourier compression: A customization method for quantum control protocols M Larocca, E Calzetta, D Wisniacki Physical Review A 102 (3), 033108, 2020 | 4 | 2020 |
| Navigating on quantum control solution subspaces M Larocca, EA Calzetta, DA Wisniacki arXiv preprint arXiv:2001.05941, 2020 | 2 | 2020 |
| Deep quantum neural networks form Gaussian processes D García-Martín, M Larocca, M Cerezo arXiv preprint arXiv:2305.09957, 2023 | 1 | 2023 |
| Loschmidt-echo approach to error estimation in Krylov-subspace approximation JM Ruffinelli, EM Fortes, DA Wisniacki, M Larocca Physical Review A 106 (4), 042423, 2022 | 1 | 2022 |
| The Landscape of Max-Cut QAOA Lie Algebras S Kazi, M Larocca, R Zeier, M Farinati, M Cerezo, P Coles Bulletin of the American Physical Society, 2023 | | 2023 |
| On the universality of -equivariant -body gates S Kazi, M Larocca, M Cerezo arXiv preprint arXiv:2303.00728, 2023 | | 2023 |
| Effects of noise on the overparametrization of quantum neural networks D García-Martín, M Larocca, M Cerezo arXiv preprint arXiv:2302.05059, 2023 | | 2023 |
| Diabatic Quantum Annealing for the Frustrated Ring Model J Côté, F Sauvage, M Larocca, M Jonsson, L Cincio, T Albash arXiv preprint arXiv:2212.02624, 2022 | | 2022 |
Marco CerezoStaff Scientist, Los Alamos National LaboratoryVerified email at lanl.gov
