The LHCb collaboration has already demonstrated that quantum machine learning can be used to classify jets based on the particles flavor in particular, the so called heavy flavor jets. These studies indicates that improvements on jets classification can arise from the study of the correlation among qubits. The thesis evaluates the possibility to measure qubits correlations and study how to exploit these information for a better data classification.

Study of quantum correlations in LHCb simulated heavy flavour jets

MONACO, SAVERIO
2022/2023

Abstract

The LHCb collaboration has already demonstrated that quantum machine learning can be used to classify jets based on the particles flavor in particular, the so called heavy flavor jets. These studies indicates that improvements on jets classification can arise from the study of the correlation among qubits. The thesis evaluates the possibility to measure qubits correlations and study how to exploit these information for a better data classification.
2022
Study of quantum correlations in LHCb simulated heavy flavour jets
High Energy Physics
Quantum Computing
QML
Jets
Jet tagging
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/51029