Speaker
Description
Particle track reconstruction plays a crucial role in the exploration of new physical phenomena, particularly when rare signal tracks are obscured by a significant background. The formulation of the reconstruction task as Quadratic Unconstrained Binary Optimisation (QUBO) enables the use of quantum computers, which are believed to offer an advantage over classical computers in such optimisation scenarios. Adding temporal information to the previously only spatially based parameters elevates the algorithm to a 4D quantum algorithm. This study is conducted in the context of a muon collider, which is a future collider facility that utilizes temporal information in the tracking detector to suppress overwhelmingly large beam-induced background. To demonstrate the effectiveness of the 4D QUBO approach, the quantum algorithm is used to reconstruct signal tracks from samples consisting of Monte Carlo simulated charged particles overlaid with background hits. I will present the obtained reconstruction performance and discuss possible paths for further improvements.
