CTD2020: Exploring (Quantum) Track Reconstruction Algorithms for non-HEP applications

Kristiane Novotny, Daniel Dobos, Bilge Demirkoz, Cenk Tüysüz, Fabio Fracas, Federico Carminati, Jean-Roch Vlimant, Karolos Potamianos & Sofia Vallecorsa
The expected increase in simultaneous collisions creates a challenge for accurate particle track reconstruction in High Luminosity LHC experiments. Similar challenges can be seen in non-HEP trajectory reconstruction use-cases, where tracking and track evaluation algorithms are used. High occupancy, track density, complexity and fast growth therefore exponentially increase the demand of algorithms in terms of time, memory and computing resources. While traditionally Kalman filter (or even simpler algorithms) are used, they are expected to scale...
1 citation reported since publication in 2020.
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