Journal Article PUBDB-2023-07901

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Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment

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2023
Springer International Publishing Cham, Switzerland

Computing and software for big science 7(1), 14 () [10.1007/s41781-023-00109-6]
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Report No.: DESY-23-045; MIT-CTP/5481; arXiv:2304.01690

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.

Keyword(s): hardware: quantum ; positron: production ; track data analysis ; strong field ; charged particle ; quantum electrodynamics ; binary ; quantum algorithm ; silicon ; tracking detector ; optimization ; quantum device ; neural network ; Quantum algorithms ; Pattern recognition ; HEP particle tracking ; Strong-field QED experiment

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Note: 15 pages, 12 figures

Contributing Institute(s):
  1. LHC/ATLAS Experiment (ATLAS)
  2. Technol. zukünft. Teilchenph. Experim. (FTX)
  3. Centre f. Quantum Techno. a. Application (CQTA)
Research Program(s):
  1. 611 - Fundamental Particles and Forces (POF4-611) (POF4-611)
Experiment(s):
  1. Laser Und XFEL Experiment

Appears in the scientific report 2023
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Quantum algorithms for charged particle track reconstruction in the LUXE experiment
[10.3204/PUBDB-2023-01517]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS


 Record created 2023-12-18, last modified 2025-07-15