A Quantum Graph Neural Network Approach to Particle Track Reconstruction

Unprecedented increase of complexity and scale of data is expected in computation necessary for the tracking detectors of the High Luminosity Large Hadron Collider (HL-LHC) experiments. While currently used Kalman filter based algorithms are reaching their limits in terms of ambiguities from increas...

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Detalles Bibliográficos
Autores principales: Tüysüz, Cenk, Carminati, Federico, Demirköz, Bilge, Dobos, Daniel, Fracas, Fabio, Novotny, Kristiane, Potamianos, Karolos, Vallecorsa, Sofia, Vlimant, Jean-Roch
Lenguaje:eng
Publicado: 2020
Materias:
quant-ph
General Theoretical Physics
Acceso en línea:https://dx.doi.org/10.5281/zenodo.4088474
http://cds.cern.ch/record/2725679

Internet

https://dx.doi.org/10.5281/zenodo.4088474
http://cds.cern.ch/record/2725679

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