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Vasilis Belis
Vasilis Belis
PhD in Physics at ETH Zurich
Verifisert e-postadresse på phys.ethz.ch
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Higgs analysis with quantum classifiers
V Belis, S González-Castillo, C Reissel, S Vallecorsa, EF Combarro, ...
EPJ Web of Conferences 251, 03070, 2021
522021
Quantum anomaly detection in the latent space of proton collision events at the LHC
V Belis, KA Woźniak, E Puljak, P Barkoutsos, G Dissertori, M Grossi, ...
Communications Physics 7 (1), 334, 2024
45*2024
Machine learning for anomaly detection in particle physics
V Belis, P Odagiu, TK Aarrestad
Reviews in Physics 12, 100091, 2024
422024
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
32*2023
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 5 (3), 035010, 2024
11*2024
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
T Muser, E Zapusek, V Belis, F Reiter
Physical Review A 110 (3), 032434, 2024
62024
Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Barkoutsos, and Ivano Tavernelli, Unravelling physics beyond the standard model …
J Schuhmacher, L Boggia, V Belis
Mach. Learn. Sci. Technol 4, 045031, 2023
52023
Higgs analysis with quantum classifiers, EPJ Web Conf
V Belis, S González-Castillo, C Reissel, S Vallecorsa, EF Combarro, ...
arXiv preprint arXiv:2104.07692, 2021
52021
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
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Artikler 1–9