TY  - EJOUR
AU  - Crippa, Arianna
AU  - Funcke, Lena
AU  - Hartung, Tobias
AU  - Heinemann, Beate
AU  - Jansen, Karl
AU  - Kropf, Annabel
AU  - Kühn, Stefan
AU  - Meloni, Federico
AU  - Spataro, David
AU  - Tüysüz, Cenk
AU  - Yap, Yee Chinn
TI  - Quantum algorithms for charged particle track reconstruction in the LUXE experiment
IS  - DESY-23-045
M1  - PUBDB-2023-01517
M1  - DESY-23-045
M1  - arXiv:2304.01690
M1  - MIT-CTP/5481
PY  - 2023
N1  - 15 pages, 12 figures
AB  - 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 by 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.
KW  - hardware, quantum (INSPIRE)
KW  - positron, production (INSPIRE)
KW  - computer, quantum (INSPIRE)
KW  - track data analysis (INSPIRE)
KW  - strong field (INSPIRE)
KW  - quantum electrodynamics (INSPIRE)
KW  - charged particle (INSPIRE)
KW  - binary (INSPIRE)
KW  - quantum algorithm (INSPIRE)
KW  - silicon (INSPIRE)
KW  - tracking detector (INSPIRE)
KW  - optimization (INSPIRE)
KW  - quantum device (INSPIRE)
KW  - neural network (INSPIRE)
LB  - PUB:(DE-HGF)25
DO  - DOI:10.3204/PUBDB-2023-01517
UR  - https://bib-pubdb1.desy.de/record/581003
ER  -