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@INPROCEEDINGS{Meloni:597177,
      author       = {Meloni, Federico and Spataro, David and Yap, Yee Chinn},
      title        = {{T}rack reconstruction of charged particles using a 4{D}
                      quantum algorithm},
      journal      = {Proceedings of Science / International School for Advanced
                      Studies},
      volume       = {(EPS-HEP2023)},
      issn         = {1824-8039},
      address      = {Trieste},
      publisher    = {SISSA},
      reportid     = {PUBDB-2023-06467, DESY-23-219},
      series       = {2751643},
      pages        = {560},
      year         = {2023},
      abstract     = {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.},
      month         = {Aug},
      date          = {2023-08-21},
      organization  = {European Physical Society - Conference
                       on High Energy Physics, Hamburg
                       (Germany), 21 Aug 2023 - 25 Aug 2023},
      keywords     = {muon: beam (INSPIRE) / computer: quantum (INSPIRE) /
                      background (INSPIRE) / quantum algorithm (INSPIRE) / track
                      data analysis (INSPIRE) / optimization (INSPIRE) / Monte
                      Carlo (INSPIRE) / charged particle (INSPIRE) / performance
                      (INSPIRE) / tracking detector (INSPIRE)},
      cin          = {FTX},
      ddc          = {530},
      cid          = {I:(DE-H253)FTX-20210408},
      pnm          = {622 - Detector Technologies and Systems (POF4-622) / MuCol
                      - A Design Study for a Muon Collider complex at 10+ TeV
                      center of mass (101094300)},
      pid          = {G:(DE-HGF)POF4-622 / G:(EU-Grant)101094300},
      experiment   = {EXP:(DE-H253)MUON-20220801},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.22323/1.449.0560},
      url          = {https://bib-pubdb1.desy.de/record/597177},
}