Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware

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One of the major objectives of the experimental programs at the LHC is the discovery of new physics. This requires the identification of rare signals in immense backgrounds. Using machine learning algorithms greatly enhances our ability to achieve this objective. With the progress of quantum technol...

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Detalles Bibliográficos
Autores principales: Chan, Jay, Guan, Wen, Sun, Shaojun, Wang, Alex, Wu, Sau Lan, Zhou, Chen, Livny, Miron, Carminati, Federico, Meglio, Alberto Di, Li, Andy C Y, Lykken, Joseph, Spentzouris, Panagiotis, Chen, Samuel Yen-Chi, Yoo, Shinjae, Wei, Tzu-Chieh
Lenguaje:eng
Publicado: SISSA 2021
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.22323/1.390.0930
http://cds.cern.ch/record/2783944

Internet

https://dx.doi.org/10.22323/1.390.0930
http://cds.cern.ch/record/2783944

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