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Style-based quantum generative adversarial networks for Monte Carlo events
We propose and assess an alternative quantum generator architecture in the context of generative adversarial learning for Monte Carlo event generation, used to simulate particle physics processes at the Large Hadron Collider (LHC). We validate this methodology by implementing the quantum network on...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.22331/q-2022-08-17-777 http://cds.cern.ch/record/2784338 |