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000479822 0247_ $$2arXiv$$aarXiv:2210.13021
000479822 0247_ $$2datacite_doi$$a10.3204/PUBDB-2022-03238
000479822 037__ $$aPUBDB-2022-03238
000479822 041__ $$aEnglish
000479822 088__ $$2DESY$$aDESY-22-113
000479822 088__ $$2arXiv$$aarXiv:2210.13021
000479822 088__ $$2Other$$aPROC-CTD2022-32
000479822 088__ $$2Other$$aMIT-CTP/5476
000479822 1001_ $$0P:(DE-H253)PIP1097418$$aCrippa, Arianna$$b0$$udesy
000479822 1112_ $$aConnecting the Dots Workshop$$cNew Jersey$$d2022-05-31 - 2022-06-02$$gCTD 2022$$wUSA
000479822 245__ $$aTrack reconstruction at the LUXE experiment using quantum algorithms
000479822 260__ $$c2022
000479822 300__ $$a7
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000479822 500__ $$a7 pages, 6 figures, Proceedings of the Connecting The Dots workshop 2022 (CTD2022)
000479822 520__ $$aLUXE (Laser Und XFEL Experiment) is a proposed experiment at DESY which will study Quantum Electrodynamics (QED) in the strong-field regime, where QED becomes non-perturbative. The measurement of the rate of electron-positron pair creation, an essential ingredient to study this regime, is enabled by the use of a silicon tracking detector. Precision tracking of positrons traversing the four layers of the tracking detector becomes very challenging at high laser intensities due to the high rates, which can be computationally expensive for classical computers. In this work, an update of our previous studies of the potential of quantum computers to reconstruct positron tracks is presented. The reconstruction problem is formulated in terms of a Quadratic Unconstrained Binary Optimisation (QUBO), and solved using simulated quantum computers and a hybrid quantum-classical algorithm, namely Variational Quantum Eigensolver (VQE). Different ansatz circuits and optimisers are studied. The results are discussed and compared with classical track reconstruction algorithms using Graph Neural Network and Combinatorial Kalman Filter.
000479822 536__ $$0G:(DE-HGF)POF4-622$$a622 - Detector Technologies and Systems (POF4-622)$$cPOF4-622$$fPOF IV$$x0
000479822 588__ $$aDataset connected to INSPIRE
000479822 650_7 $$2INSPIRE$$acomputer, quantum
000479822 650_7 $$2INSPIRE$$alaser, yield
000479822 650_7 $$2INSPIRE$$aquantum electrodynamics
000479822 650_7 $$2INSPIRE$$apositron
000479822 650_7 $$2INSPIRE$$atrack data analysis
000479822 650_7 $$2INSPIRE$$atracking detector
000479822 650_7 $$2INSPIRE$$astrong field
000479822 650_7 $$2INSPIRE$$abinary
000479822 650_7 $$2INSPIRE$$aproposed experiment
000479822 650_7 $$2INSPIRE$$ahybrid
000479822 650_7 $$2INSPIRE$$aquantum algorithm
000479822 650_7 $$2INSPIRE$$apixel
000479822 650_7 $$2INSPIRE$$asilicon
000479822 650_7 $$2INSPIRE$$atracks
000479822 650_7 $$2INSPIRE$$anonperturbative
000479822 650_7 $$2INSPIRE$$aelectron positron
000479822 650_7 $$2INSPIRE$$aneural network
000479822 650_7 $$2INSPIRE$$avariational quantum eigensolver
000479822 693__ $$0EXP:(DE-H253)LUXE-20220501$$5EXP:(DE-H253)LUXE-20220501$$eLaser Und XFEL Experiment$$x0
000479822 7001_ $$0P:(DE-HGF)0$$aFuncke, Lena$$b1
000479822 7001_ $$0P:(DE-H253)PIP1019423$$aHartung, Tobias$$b2$$udesy
000479822 7001_ $$0P:(DE-H253)PIP1030369$$aHeinemann, Beate$$b3$$udesy
000479822 7001_ $$0P:(DE-H253)PIP1003636$$aJansen, Karl$$b4$$udesy
000479822 7001_ $$0P:(DE-H253)PIP1096813$$aKropf, Annabel$$b5$$udesy
000479822 7001_ $$0P:(DE-H253)PIP1086314$$aKuehn, Stefan$$b6
000479822 7001_ $$0P:(DE-H253)PIP1083387$$aMeloni, Federico$$b7$$udesy
000479822 7001_ $$0P:(DE-H253)PIP1088317$$aSpataro, David$$b8$$eCorresponding author$$udesy
000479822 7001_ $$0P:(DE-H253)PIP1096564$$aTueysuez, Cenk$$b9$$udesy
000479822 7001_ $$0P:(DE-H253)PIP1080456$$aYap, Yee Chinn$$b10$$udesy
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