Cargando…
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
The standard model (SM) of particle physics represents a theoretical paradigm for the description of the fundamental forces of nature. Despite its broad applicability, the SM does not enable the description of all physically possible events. The detection of events that cannot be described by the SM...
Autores principales: | Bermot, Elie, Zoufal, Christa, Grossi, Michele, Schuhmacher, Julian, Tacchino, Francesco, Vallecorsa, Sofia, Tavernelli, Ivano |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2857971 |
Ejemplares similares
-
Unravelling physics beyond the standard model with classical and quantum anomaly detection
por: Schuhmacher, Julian, et al.
Publicado: (2023) -
Quantum neural networks force fields generation
por: Kiss, Oriel, et al.
Publicado: (2022) -
Quantum anomaly detection in the latent space of proton collision events at the LHC
por: Woźniak, Kinga Anna, et al.
Publicado: (2023) -
Impact of quantum noise on the training of quantum Generative Adversarial Networks
por: Borras, Kerstin, et al.
Publicado: (2023) -
Quantum phase detection generalization from marginal quantum neural network models
por: Monaco, Saverio, et al.
Publicado: (2022)