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Embedding of particle tracking data using hybrid quantum-classical neural networks
The High Luminosity Large Hadron Collider (HL-LHC) at CERN will involve a significant increase in complexity and sheer size of data with respect to the current LHC experimental complex. Hence, the task of reconstructing the particle trajectories will become more involved due to the number of simulta...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202125103065 http://cds.cern.ch/record/2813802 |