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001     597177
005     20250715171249.0
024 7 _ |a 10.22323/1.449.0560
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100 1 _ |a Meloni, Federico
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111 2 _ |a European Physical Society - Conference on High Energy Physics
|g EPS-HEP2023
|c Hamburg
|d 2023-08-21 - 2023-08-25
|w Germany
245 _ _ |a Track reconstruction of charged particles using a 4D quantum algorithm
260 _ _ |a Trieste
|c 2023
|b SISSA
300 _ _ |a 6
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Contribution to a book
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490 0 _ |a 2751643
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520 _ _ |a Particle 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.
536 _ _ |a 622 - Detector Technologies and Systems (POF4-622)
|0 G:(DE-HGF)POF4-622
|c POF4-622
|f POF IV
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536 _ _ |a MuCol - A Design Study for a Muon Collider complex at 10+ TeV center of mass (101094300)
|0 G:(EU-Grant)101094300
|c 101094300
|f HORIZON-INFRA-2022-DEV-01
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588 _ _ |a Dataset connected to CrossRef Conference, INSPIRE
650 _ 7 |a muon: beam
|2 INSPIRE
650 _ 7 |a computer: quantum
|2 INSPIRE
650 _ 7 |a background
|2 INSPIRE
650 _ 7 |a quantum algorithm
|2 INSPIRE
650 _ 7 |a track data analysis
|2 INSPIRE
650 _ 7 |a optimization
|2 INSPIRE
650 _ 7 |a Monte Carlo
|2 INSPIRE
650 _ 7 |a charged particle
|2 INSPIRE
650 _ 7 |a performance
|2 INSPIRE
650 _ 7 |a tracking detector
|2 INSPIRE
693 _ _ |1 EXP:(DE-H253)MUON-20220801
|0 EXP:(DE-H253)MUON-20220801
|a Planned International Muon Collider Facility
|x 0
700 1 _ |a Spataro, David
|0 P:(DE-H253)PIP1088317
|b 1
|e Corresponding author
|u desy
700 1 _ |a Yap, Yee Chinn
|0 P:(DE-H253)PIP1080456
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773 _ _ |a 10.22323/1.449.0560
|0 PERI:(DE-600)2642026-0
|p 560
|t Proceedings of Science / International School for Advanced Studies
|v (EPS-HEP2023)
|y 2023
|x 1824-8039
856 4 _ |u https://bib-pubdb1.desy.de/record/597177/files/HTML-Approval_of_scientific_publication.html
856 4 _ |u https://bib-pubdb1.desy.de/record/597177/files/PDF-Approval_of_scientific_publication.pdf
856 4 _ |y OpenAccess
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910 1 _ |a Deutsches Elektronen-Synchrotron
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913 1 _ |a DE-HGF
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|v Detector Technologies and Systems
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914 1 _ |y 2023
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