Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment

Crippa, Arianna, Funcke, Lena, Hartung, Tobias, Heinemann, Beate, Jansen, Karl, Kropf, Annabel, Kühn, Stefan, Meloni, Federico, Spataro, David, Tüysüz, Cenk and Yap, Yee Chinn (2023) Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment. Computing and Software for Big Science, 7 (14). ISSN 2510-2044

Abstract

The LUXE experiment is a new experiment in planning in Hamburg, which will study quantum electrodynamics at the strong-field frontier. LUXE intends to measure the positron production rate in this unprecedented regime using, among others, a silicon tracking detector. The large number of expected positrons traversing the sensitive detector layers results in an extremely challenging combinatorial problem, which can become computationally expensive for classical computers. This paper investigates the potential future use of gate-based quantum computers for pattern recognition in track reconstruction. Approaches based on a quadratic unconstrained binary optimisation and a quantum graph neural network are investigated in classical simulations of quantum devices and compared with a classical track reconstruction algorithm. In addition, a proof-of-principle study is performed using quantum hardware.

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Official URL:	https://doi.org/10.1007/s41781-023-00109-6
Item Type:	Article
Disciplines:	Computing, Maths, Engineering and Natural Sciences > Computing and Information Systems
Depositing User:	Tobias Hartung
Date Deposited:	21 Dec 2023 12:44
Last Modified:	20 Dec 2024 13:29
URI:	https://nul.repository.guildhe.ac.uk/id/eprint/1583

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