| Theory for equivariant quantum neural networks QT Nguyen, L Schatzki, P Braccia, M Ragone, PJ Coles, F Sauvage, ... arXiv preprint arXiv:2210.08566, 2022 | 60 | 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 | 52 | 2022 |
| Complexity in the presence of a boundary P Braccia, AL Cotrone, E Tonni Journal of High Energy Physics 2020 (2), 1-28, 2020 | 47 | 2020 |
| 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 | 28 | 2023 |
| How to enhance quantum generative adversarial learning of noisy information P Braccia, F Caruso, L Banchi New Journal of Physics 23 (5), 053024, 2021 | 17 | 2021 |
| 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 | 12 | |
| Quantum noise sensing by generating fake noise P Braccia, L Banchi, F Caruso Physical Review Applied 17 (2), 024002, 2022 | 11 | 2022 |
| Parallel-in-time quantum simulation via Page and Wootters quantum time NL Diaz, P Braccia, M Larocca, JM Matera, R Rossignoli, M Cerezo arXiv preprint arXiv:2308.12944, 2023 | 5 | 2023 |
| Computing exact moments of local random quantum circuits via tensor networks P Braccia, P Bermejo, L Cincio, M Cerezo arXiv preprint arXiv:2403.01706, 2024 | 2 | 2024 |
| Design and Training of Quantum Machine Learning Models for Noise Sensing and Phases of Matter Classification P Braccia | 1 | 2023 |
