  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.
