Quantum Machine Learning for HEP Detector Simulations

Quantum Machine Learning (qML) is one of the most promising and very intuitive applications on near-term quantum devices which possess the potential to combat computing resource challenges faster than traditional computers. Classical Machine Learning (ML) is taking up a significant role in particle...

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Detalles Bibliográficos
Autores principales: Rehm, Florian, Vallecorsa, Sofia, Borras, Kerstin, Krücker, Dirk
Lenguaje:eng
Publicado: 2021
Materias:
Detectors and Experimental Techniques
Quantum Technology
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2824092

Internet

http://cds.cern.ch/record/2824092

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