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Quantum anomaly detection in the latent space of proton collision events at the LHC
We propose a new strategy for anomaly detection at the LHC based on unsupervised quantum machine learning algorithms. To accommodate the constraints on the problem size dictated by the limitations of current quantum hardware we develop a classical convolutional autoencoder. The designed quantum anom...
| Autores principales: | , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2848669 |