• Corpus ID: 227247986

Performance of Particle Tracking Using a Quantum Graph Neural Network

@article{Tuysuz2020PerformanceOP,
  title={Performance of Particle Tracking Using a Quantum Graph Neural Network},
  author={Cenk Tuysuz and Kristiane Novotny and Carla Rieger and Federico Carminati and Bilge Demirkoz and Daniel Dobos and Fabio Fracas and Karolos Potamianos and Sofia Vallecorsa and J. R. Vlimant},
  journal={arXiv: Quantum Physics},
  year={2020}
}
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminosity) and become the High Luminosity LHC. This increase in luminosity, will yield many more detector hits (occupancy), and thus measurements will pose a challenge to track reconstruction algorithms being responsible to determine particle trajectories from those hits. This work explores the possibility of converting a… 
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