| 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 | 218 | 2022 |
| Theory of overparametrization in quantum neural networks M Larocca, N Ju, D García-Martín, PJ Coles, M Cerezo Nature Computational Science 3 (6), 542-551, 2023 | 177 | 2023 |
| Group-invariant quantum machine learning M Larocca, F Sauvage, FM Sbahi, G Verdon, PJ Coles, M Cerezo PRX Quantum 3 (3), 030341, 2022 | 138 | 2022 |
| Theory for equivariant quantum neural networks QT Nguyen, L Schatzki, P Braccia, M Ragone, PJ Coles, F Sauvage, ... PRX Quantum 5 (2), 020328, 2024 | 92 | 2024 |
| A unified theory of barren plateaus for deep parametrized quantum circuits M Ragone, BN Bakalov, F Sauvage, AF Kemper, C Ortiz Marrero, ... arXiv e-prints, arXiv: 2309.09342, 2023 | 81 | 2023 |
| Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M Cerezo, M Larocca, D García-Martín, NL Diaz, P Braccia, E Fontana, ... arXiv preprint arXiv:2312.09121, 2023 | 77 | 2023 |
| 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 | 77 | 2022 |
| Theoretical guarantees for permutation-equivariant quantum neural networks L Schatzki, M Larocca, QT Nguyen, F Sauvage, M Cerezo npj Quantum Information 10 (1), 12, 2024 | 70 | 2024 |
| Building spatial symmetries into parameterized quantum circuits for faster training F Sauvage, M Larocca, PJ Coles, M Cerezo Quantum Science and Technology 9 (1), 015029, 2024 | 49 | 2024 |
| 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 | 43 | 2018 |
| Quantum metrology in a non-Markovian quantum evolution N Mirkin, M Larocca, D Wisniacki Physical Review A 102 (2), 022618, 2020 | 33 | 2020 |
| A review of barren plateaus in variational quantum computing M Larocca, S Thanasilp, S Wang, K Sharma, J Biamonte, PJ Coles, ... arXiv preprint arXiv:2405.00781, 2024 | 32 | 2024 |
| Showcasing a barren plateau theory beyond the dynamical lie algebra NL Diaz, D García-Martín, S Kazi, M Larocca, M Cerezo arXiv preprint arXiv:2310.11505, 2023 | 30 | 2023 |
| Exploiting landscape geometry to enhance quantum optimal control M Larocca, E Calzetta, DA Wisniacki Physical Review A 101 (2), 023410, 2020 | 26 | 2020 |
| Lie-algebraic classical simulations for variational quantum computing ML Goh, M Larocca, L Cincio, M Cerezo, F Sauvage arXiv preprint arXiv:2308.01432, 2023 | 24 | 2023 |
| A review of barren plateaus in variational quantum computing (2024) M Larocca, S Thanasilp, S Wang, K Sharma, J Biamonte, PJ Coles, ... arXiv preprint arXiv:2405.00781, 0 | 22 | |
| On the universality of sn-equivariant k-body gates S Kazi, M Larocca, M Cerezo New Journal of Physics 26 (5), 053030, 2024 | 20 | 2024 |
| Representation theory for geometric quantum machine learning (2023) M Ragone, P Braccia, QT Nguyen, L Schatzki, PJ Coles, F Sauvage, ... arXiv preprint arXiv:2210.07980, 0 | 19 | |
| Effects of noise on the overparametrization of quantum neural networks D García-Martín, M Larocca, M Cerezo Physical Review Research 6 (1), 013295, 2024 | 16 | 2024 |
| Deep quantum neural networks form Gaussian processes D García-Martín, M Larocca, M Cerezo arXiv preprint arXiv:2305.09957, 2023 | 15 | 2023 |
Marco CerezoStaff Scientist, Los Alamos National LaboratoryBestätigte E-Mail-Adresse bei lanl.gov
