| Reinforcement learning for optimal error correction of toric codes LD Colomer, M Skotiniotis, R Muñoz-Tapia Physics Letters A 384 (17), 126353, 2020 | 33 | 2020 |
| Taking advantage of noise in quantum reservoir computing L Domingo, G Carlo, F Borondo Scientific Reports 13 (1), 8790, 2023 | 18 | 2023 |
| Optimal quantum reservoir computing for the noisy intermediate-scale quantum era L Domingo, G Carlo, F Borondo Physical Review E 106 (4), L043301, 2022 | 10 | 2022 |
| Self-testing and certification using trusted quantum inputs I Šupić, MJ Hoban, LD Colomer, A Acín New Journal of Physics 22 (7), 073006, 2020 | 9 | 2020 |
| Deep learning methods for the computation of vibrational wavefunctions L Domingo, F Borondo Communications in Nonlinear Science and Numerical Simulation 103, 105989, 2021 | 6 | 2021 |
| Anticipating food price crises by reservoir computing L Domingo, M Grande, F Borondo, J Borondo Chaos, Solitons & Fractals 174, 113854, 2023 | 5 | 2023 |
| Adapting reservoir computing to solve the Schrödinger equation L Domingo, J Borondo, F Borondo Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (6), 2022 | 3 | 2022 |
| Binding affinity predictions with hybrid quantum-classical convolutional neural networks L Domingo, M Djukic, C Johnson, F Borondo Scientific Reports 13 (1), 17951, 2023 | 2 | 2023 |
| Hybrid quantum-classical convolutional neural networks to improve molecular protein binding affinity predictions L Domingo, M Djukic, C Johnson, F Borondo arXiv preprint arXiv:2301.06331, 2023 | 2 | 2023 |
| Quantum reservoir complexity by Krylov evolution approach L Domingo, F Borondo, G Scialchi, AJ Roncaglia, GG Carlo, DA Wisniacki arXiv preprint arXiv:2310.00790, 2023 | 1 | 2023 |
| A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery S Banerjee, SH Yuxun, S Konakanchi, L Ogunfowora, S Roy, S Selvaras, ... arXiv preprint arXiv:2309.03919, 2023 | 1 | 2023 |
| Using reservoir computing to construct scarred wavefunctions L Domingo, J Borondo, F Borondo arXiv preprint arXiv:2401.10307, 2024 | | 2024 |
| Optimal quantum reservoir computing for market forecasting: An application to fight food price crises L Domingo, M Grande, G Carlo, F Borondo, J Borondo arXiv preprint arXiv:2401.03347, 2023 | | 2023 |
| Classical and quantum reservoir computing: development and applications in machine learning L Domingo arXiv preprint arXiv:2310.07455, 2023 | | 2023 |
| Optimal quantum reservoir computing for the NISQ era L Domingo, G Carlo, F Borondo arXiv preprint arXiv:2205.10107, 2022 | | 2022 |
