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

• URL: http://arxiv.org/abs/2312.03179v3
• Date: Fri, 10 May 2024 12:02:21 GMT
• Title: CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models
• Authors: Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcoatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko,
• Abstract summary: Modelling of high-energy particles propagating through the calorimeter section of the detector is the most computationally intensiveMC 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.
• Score: 1.6418406210795666
• License: http://creativecommons.org/licenses/by-sa/4.0/
• 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.

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