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DOE OSTI · 2470727

Quantum pattern recognition algorithms for charged particle tracking

Gray, Heather M.
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Abstract

High-energy physics is facing a daunting computing challenge with the large datasets expected from the upcoming High-Luminosity Large Hadron Collider in the next decade and even more so at future colliders. A key challenge in the reconstruction of events of simulated data and collision data is the pattern recognition algorithms used to determine the trajectories of charged particles. The field of quantum computing shows promise for transformative capabilities and is going through a cycle of rapid development and hence might provide a solution to this challenge. This article reviews current studies of quantum computers for charged particle pattern recognition in high-energy physics.

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72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS97 MATHEMATICS AND COMPUTINGparticle physicspattern recognitionquantum computingquantum machine learningquantum physicsscience & technologytrack reconstruction

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Gray, Heather M.. 2021-12-20. Quantum pattern recognition algorithms for charged particle tracking. https://doi.org/10.1098/rsta.2021.0103

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