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

Department of Physics and Astronomy, University of Waterloo, Ontario N2L 3G1, Canada 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. The Large Hadron Collider (LHC) is the highest energy particle showers is critical to enable the highest quality particle accelerator in the world, and currently collides measurements, but simulating each shower from first protons at s = 13.6 TeV at a rate of 2 10 We deploy a restricted "High-Luminosity LHC" (HL-LHC) dataset will enable Boltzmann machine (RBM) to encode a rich description significantly more precise measurements of the Higgs boson of particle showers in detectors, and use quantum and other Standard Model particles.