Speaker
Description
The imminent high-luminosity era of the Large Hadron Collider (LHC) presents significant computational challenges for event reconstruction in high-energy physics. This study investigates a novel approach to charged particle track reconstruction, using the LHCb vertex locator as a case study. Our method employs an Ising-like Hamiltonian minimization through matrix inversion, achieving reconstruction efficiency comparable to state-of-the-art algorithms. While classical implementation suffers from unfavorable time complexity, the quantum Harrow-Hassadim-Lloyd (HHL) algorithm offers potential for exponential speedup, contingent upon efficient quantum phase estimation (QPE) and intuitive post processing. Building on previous work, we present substantial improvements: up to a
