In this section
@article{Brown:2024:10.3389/frai.2024.1339785,
author = {Brown, C and Spannowsky, M and Tapper, A and Williams, S and Xiotidis, I},
doi = {10.3389/frai.2024.1339785},
journal = {Frontiers in Artificial Intelligence},
title = {Quantum pathways for charged track finding in high-energy collisions},
url = {http://dx.doi.org/10.3389/frai.2024.1339785},
volume = {7},
year = {2024}
}
TY - JOUR
AB - In high-energy particle collisions, charged track finding is a complex yet crucial endeavor. We propose a quantum algorithm, specifically quantum template matching, to enhance the accuracy and efficiency of track finding. Abstracting the Quantum Amplitude Amplification routine by introducing a data register, and utilizing a novel oracle construction, allows data to be parsed to the circuit and matched with a hit-pattern template, without prior knowledge of the input data. Furthermore, we address the challenges posed by missing hit data, demonstrating the ability of the quantum template matching algorithm to successfully identify charged-particle tracks from hit patterns with missing hits. Our findings therefore propose quantum methodologies tailored for real-world applications and underline the potential of quantum computing in collider physics.
AU - Brown,C
AU - Spannowsky,M
AU - Tapper,A
AU - Williams,S
AU - Xiotidis,I
DO - 10.3389/frai.2024.1339785
PY - 2024///
SN - 2624-8212
TI - Quantum pathways for charged track finding in high-energy collisions
T2 - Frontiers in Artificial Intelligence
UR - http://dx.doi.org/10.3389/frai.2024.1339785
UR - https://www.frontiersin.org/articles/10.3389/frai.2024.1339785/full
UR - http://hdl.handle.net/10044/1/111810
VL - 7
ER -