Speaker
Description
This thesis aims to investigate the potential use of quantum algorithms in the field of High Energy Physics. Specifically, the focus is on the application of quantum algorithms to track reconstruction and calorimeter reconstruction in the High Granularity Calorimeter of CMS. The study will examine the use of existing quantum algorithms such as k-means and affinity propagation, and explore any necessary modifications to make them suitable for the clustering problem in the calorimeter. The algorithms will be tested using PYTHIA, an event generator for high energy physics experiments, and possibly GEANT4 for simulating the detector and its response. The results of this study will be used to assess the usefulness of quantum algorithms in current and future machines and detectors in High Energy Physics.
