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000597177 1001_ $$0P:(DE-H253)PIP1083387$$aMeloni, Federico$$b0$$udesy
000597177 1112_ $$aEuropean Physical Society - Conference on High Energy Physics$$cHamburg$$d2023-08-21 - 2023-08-25$$gEPS-HEP2023$$wGermany
000597177 245__ $$aTrack reconstruction of charged particles using a 4D quantum algorithm
000597177 260__ $$aTrieste$$bSISSA$$c2023
000597177 300__ $$a6
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000597177 4900_ $$2Author$$a2751643
000597177 520__ $$aParticle track reconstruction plays a crucial role in the exploration of new physical phenomena,particularly when rare signal tracks are obscured by a significant background. In muon colliderswhere beam muons interacting with the detector produce secondary and tertiary background par-ticles, track reconstruction can be computationally intensive due to the large number of detectorhits. The formulation of the reconstruction task as Quadratic Unconstrained Binary Optimisa-tion (QUBO) enables the use of quantum computers, which are believed to offer an advantageover classical computers in such optimisation scenarios. The QUBO parameters are determinedby combining spatial and temporal information from detector hits, resulting in a 4D quantumalgorithm. To demonstrate the effectiveness of this approach, the quantum algorithm is usedto reconstruct signal tracks from samples consisting of Monte Carlo simulated charged particlesoverlaid with background hits for a Muon Collider tracking detector. We will present the obtainedreconstruction performance and discuss possible paths for further improvements.
000597177 536__ $$0G:(DE-HGF)POF4-622$$a622 - Detector Technologies and Systems (POF4-622)$$cPOF4-622$$fPOF IV$$x0
000597177 536__ $$0G:(EU-Grant)101094300$$aMuCol - A Design Study for a Muon Collider complex at 10+ TeV center of mass (101094300)$$c101094300$$fHORIZON-INFRA-2022-DEV-01$$x1
000597177 588__ $$aDataset connected to CrossRef Conference, INSPIRE
000597177 650_7 $$2INSPIRE$$amuon: beam
000597177 650_7 $$2INSPIRE$$acomputer: quantum
000597177 650_7 $$2INSPIRE$$abackground
000597177 650_7 $$2INSPIRE$$aquantum algorithm
000597177 650_7 $$2INSPIRE$$atrack data analysis
000597177 650_7 $$2INSPIRE$$aoptimization
000597177 650_7 $$2INSPIRE$$aMonte Carlo
000597177 650_7 $$2INSPIRE$$acharged particle
000597177 650_7 $$2INSPIRE$$aperformance
000597177 650_7 $$2INSPIRE$$atracking detector
000597177 693__ $$0EXP:(DE-H253)MUON-20220801$$1EXP:(DE-H253)MUON-20220801$$aPlanned International Muon Collider Facility$$x0
000597177 7001_ $$0P:(DE-H253)PIP1088317$$aSpataro, David$$b1$$eCorresponding author$$udesy
000597177 7001_ $$0P:(DE-H253)PIP1080456$$aYap, Yee Chinn$$b2$$udesy
000597177 773__ $$0PERI:(DE-600)2642026-0$$a10.22323/1.449.0560$$p560$$tProceedings of Science / International School for Advanced Studies$$v(EPS-HEP2023)$$x1824-8039$$y2023
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000597177 9141_ $$y2023
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