Quantum Machine Learning for $b$-jet identification

Machine Learning algorithms have played an important role in hadronic jet classification problems. The large variety of models applied to Large Hadron Collider data has demonstrated that there is still room for improvement. In this context Quantum Machine Learning is a new and almost unexplored meth...

Descripción completa

Detalles Bibliográficos
Autores principales: Gianelle, Alessio, Koppenburg, Patrick, Lucchesi, Donatella, Nicotra, Davide, Rodrigues, Eduardo, Sestini, Lorenzo, de Vries, Jacco, Zuliani, Davide
Lenguaje:eng
Publicado: 2022
Materias:
quant-ph
General Theoretical Physics
hep-ex
Particle Physics - Experiment
Acceso en línea:https://dx.doi.org/10.1007/JHEP08(2022)014
http://cds.cern.ch/record/2802679

Internet

https://dx.doi.org/10.1007/JHEP08(2022)014
http://cds.cern.ch/record/2802679

Ejemplares similares