Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment
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 posi...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Springer International Publishing
2024
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Online Access: | https://hdl.handle.net/1721.1/153308 |
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author | Crippa, Arianna Funcke, Lena Hartung, Tobias Heinemann, Beate Jansen, Karl Kropf, Annabel Kühn, Stefan Meloni, Federico Spataro, David Tüysüz, Cenk Yap, Yee C. |
author2 | Massachusetts Institute of Technology. Center for Theoretical Physics |
author_facet | Massachusetts Institute of Technology. Center for Theoretical Physics Crippa, Arianna Funcke, Lena Hartung, Tobias Heinemann, Beate Jansen, Karl Kropf, Annabel Kühn, Stefan Meloni, Federico Spataro, David Tüysüz, Cenk Yap, Yee C. |
author_sort | Crippa, Arianna |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T11:23:44Z |
format | Article |
id | mit-1721.1/153308 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T11:23:44Z |
publishDate | 2024 |
publisher | Springer International Publishing |
record_format | dspace |
spelling | mit-1721.1/1533082024-06-28T15:03:26Z 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 Yap, Yee C. Massachusetts Institute of Technology. Center for Theoretical Physics 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. 2024-01-11T15:54:21Z 2024-01-11T15:54:21Z 2023-12-18 2023-12-24T04:17:53Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/153308 Computing and Software for Big Science. 2023 Dec 18;7(1):14 PUBLISHER_CC en https://doi.org/10.1007/s41781-023-00109-6 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer International Publishing Springer International Publishing |
spellingShingle | Crippa, Arianna Funcke, Lena Hartung, Tobias Heinemann, Beate Jansen, Karl Kropf, Annabel Kühn, Stefan Meloni, Federico Spataro, David Tüysüz, Cenk Yap, Yee C. Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment |
title | Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment |
title_full | Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment |
title_fullStr | Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment |
title_full_unstemmed | Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment |
title_short | Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment |
title_sort | quantum algorithms for charged particle track reconstruction in the luxe experiment |
url | https://hdl.handle.net/1721.1/153308 |
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