| Higgs analysis with quantum classifiers V Belis, S González-Castillo, C Reissel, S Vallecorsa, EF Combarro, ... EPJ Web of Conferences 251, 03070, 2021 | 48 | 2021 |
| Unravelling physics beyond the standard model with classical and quantum anomaly detection J Schuhmacher, L Boggia, V Belis, E Puljak, M Grossi, M Pierini, ... Machine Learning: Science and Technology 4 (4), 045031, 2023 | 20 | 2023 |
| Quantum anomaly detection in the latent space of proton collision events at the LHC KA Woźniak, V Belis, E Puljak, P Barkoutsos, G Dissertori, M Grossi, ... arXiv preprint arXiv:2301.10780, 2023 | 20 | 2023 |
| Machine learning for anomaly detection in particle physics V Belis, P Odagiu, TK Aarrestad Reviews in Physics, 100091, 2024 | 17 | 2024 |
| Ema Puljak, Panagiotis Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, and Sofia Vallecorsa KA Wozniak, V Belis Quantum anomaly detection in the latent space of proton collision events at …, 2023 | 6 | 2023 |
| Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm T Muser, E Zapusek, V Belis, F Reiter arXiv preprint arXiv:2309.14406, 2023 | 5 | 2023 |
| Quantum anomaly detection in the latent space of proton collision events at the LHC. arXiv 2023 KA Wozniak, V Belis, E Puljak, P Barkoutsos, G Dissertori, M Grossi, ... arXiv preprint arXiv:2301.10780, 0 | 5 | |
| Quantum anomaly detection in the latent space of proton collision events at the LHC, 2023 KA Woźniak, V Belis, E Puljak, P Barkoutsos, G Dissertori, M Grossi, ... arXiv preprint arXiv:2301.10780, 0 | 5 | |
| Unravelling physics beyond the standard model with classical and quantum anomaly detection. arXiv 2023 J Schuhmacher, L Boggia, V Belis, E Puljak, M Grossi, M Pierini, ... arXiv preprint arXiv:2301.10787, 0 | 5 | |
| Guided Quantum Compression for Higgs Identification V Belis, P Odagiu, M Grossi, F Reiter, G Dissertori, S Vallecorsa arXiv preprint arXiv:2402.09524, 2024 | 1 | 2024 |
| Guided quantum compression for high dimensional data classification V Belis, P Odagiu, M Grossi, F Reiter, G Dissertori, S Vallecorsa Machine Learning: Science and Technology, 2024 | | 2024 |
| Guided quantum compression for high dimensional data classification V Belis, P Odagiu, M Grossi, F Reiter, G Dissertori, S Vallecorsa Machine Learning: Science and Technology, 2024 | | 2024 |
| Compression and dimensionality reduction techniques for Quantum Machnine Learning applications in High Energy Physics P Barkoutsos, DP Odagiu, V Belis, L Schulze, C Reissel, ... APS March Meeting Abstracts 2022, S37. 011, 2022 | | 2022 |
Sofia VallecorsaCERN在 cern.ch 的电子邮件经过验证
