1 July 2022
Virtuale
Europe/Rome timezone

Quantum graph networks for particle track reconstruction

1 Jul 2022, 12:30
20m
Virtuale

Virtuale

Speakers

Andrea Rizzi (Istituto Nazionale di Fisica Nucleare) Concezio Bozzi (Istituto Nazionale di Fisica Nucleare) Daniele Bonacorsi (Istituto Nazionale di Fisica Nucleare)

Description

In this project we plan to explore the effectiveness of a quantum enhancement to the Neural Network approach to the problem of charged particle tracking. We plan to explore options to re-engineer classical Graph Neural Networks of increasing complexity inside a quantum algorithms, exploring theoretical and practical limitations and comparing theoretical efficiency and experimenting with actual implementation.

Presentation materials

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