Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment
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41781_2023_Article_109.pdf
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1.6 MB
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Checksum (MD5)
e3706233e2f4da384c2445f4ccd89f1a
Author(s)
Crippa, Arianna
Funcke, Lena
Hartung, Tobias
Heinemann, Beate
Jansen, Karl
Kropf, Annabel
Kühn, Stefan
Meloni, Federico
Spataro, David
Tüysüz, Cenk
Date Issued
December 18, 2023
Publisher
Springer International Publishing
Citation
Computing and Software for Big Science. 2023 Dec 18;7(1):14
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Center for Theoretical Physics
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1007/s41781-023-00109-6
