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CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models

Authors :
Hoque, Sehmimul
Jia, Hao
Abhishek, Abhishek
Fadaie, Mojde
Toledo-Marín, J. Quetzalcoatl
Vale, Tiago
Melko, Roger G.
Swiatlowski, Maximilian
Fedorko, Wojciech T.
Publication Year :
2023

Abstract

The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be required to constrain the statistical uncertainties of the simulated datasets below these of the experimental data. Modelling of high-energy particles propagating through the calorimeter section of the detector is the most computationally intensive MC simulation task. We introduce a technique combining recent advancements in generative models and quantum annealing for fast and efficient simulation of high-energy particle-calorimeter interactions.<br />Comment: 6 pages, 3 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2312.03179
Document Type :
Working Paper