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The Large Hadron Collider's high luminosity era presents major computationalchallenges in the analysis of collision events. Large amounts of Monte Carlo(MC) simulation will be required to constrain the statistical uncertainties ofthe simulated datasets below these of the experimental data. Modelling ofhigh-energy particles propagating through the calorimeter section of thedetector is the most computationally intensive MC simulation task. We introducea technique combining recent advancements in generative models and quantumannealing for fast and efficient simulation of high-energy particle-calorimeterinteractions.

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