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000600337 1001_ $$0P:(DE-H253)PIP1097418$$aCrippa, Arianna$$b0
000600337 245__ $$aQuantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment
000600337 260__ $$aCham, Switzerland$$bSpringer International Publishing$$c2023
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000600337 520__ $$aThe 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.
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000600337 650_7 $$2INSPIRE$$ahardware: quantum
000600337 650_7 $$2INSPIRE$$apositron: production
000600337 650_7 $$2INSPIRE$$atrack data analysis
000600337 650_7 $$2INSPIRE$$astrong field
000600337 650_7 $$2INSPIRE$$acharged particle
000600337 650_7 $$2INSPIRE$$aquantum electrodynamics
000600337 650_7 $$2INSPIRE$$abinary
000600337 650_7 $$2INSPIRE$$aquantum algorithm
000600337 650_7 $$2INSPIRE$$asilicon
000600337 650_7 $$2INSPIRE$$atracking detector
000600337 650_7 $$2INSPIRE$$aoptimization
000600337 650_7 $$2INSPIRE$$aquantum device
000600337 650_7 $$2INSPIRE$$aneural network
000600337 650_7 $$2autogen$$aQuantum algorithms
000600337 650_7 $$2autogen$$aPattern recognition
000600337 650_7 $$2autogen$$aHEP particle tracking
000600337 650_7 $$2autogen$$aStrong-field QED experiment
000600337 693__ $$0EXP:(DE-H253)LUXE-20220501$$5EXP:(DE-H253)LUXE-20220501$$eLaser Und XFEL Experiment$$x0
000600337 7001_ $$aFuncke, Lena$$b1
000600337 7001_ $$aHartung, Tobias$$b2
000600337 7001_ $$0P:(DE-H253)PIP1030369$$aHeinemann, Beate$$b3
000600337 7001_ $$0P:(DE-H253)PIP1003636$$aJansen, Karl$$b4
000600337 7001_ $$aKropf, Annabel$$b5
000600337 7001_ $$0P:(DE-H253)PIP1086314$$aKühn, Stefan$$b6
000600337 7001_ $$0P:(DE-H253)PIP1083387$$aMeloni, Federico$$b7$$eCorresponding author$$udesy
000600337 7001_ $$aSpataro, David$$b8
000600337 7001_ $$0P:(DE-H253)PIP1096564$$aTüysüz, Cenk$$b9
000600337 7001_ $$aYap, Yee Chinn$$b10
000600337 773__ $$0PERI:(DE-600)2908677-2$$a10.1007/s41781-023-00109-6$$gVol. 7, no. 1, p. 14$$n1$$p14$$tComputing and software for big science$$v7$$x2510-2036$$y2023
000600337 7870_ $$0PUBDB-2023-01517$$aCrippa, Arianna et.al.$$d2023$$iIsParent$$rDESY-23-045 ; arXiv:2304.01690 ; MIT-CTP/5481$$tQuantum algorithms for charged particle track reconstruction in the LUXE experiment
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