Paper ID: 2312.03179

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

Sehmimul Hoque (1, 2), Hao Jia (3), Abhishek Abhishek (4), Mojde Fadaie (1), J. Quetzalcoatl Toledo-Marín (4), Tiago Vale (5, 4), Roger G. Melko (1, 6), Maximilian Swiatlowski (4), Wojciech T. Fedorko (4) ((1) Perimeter Institute for Theoretical Physics, (2) Faculty of Mathematics, University of Waterloo, (3) Department of Physics and Astronomy, University of British Columbia, (4) TRIUMF, (5) Department of Physics, Simon Fraser University, (6) Department of Physics and Astronomy, University of Waterloo)

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.

Submitted: Dec 5, 2023