Quantum Machine Learning for Track Reconstruction
Tracking charged particles in high-energy physics experiments is a computationally intensive task. With the advent of the High Luminosity LHC era, which is expected to significantly increase the number of proton-proton interactions per beam collision, the amount of data to be analysed will increase...
| Published in: | EPJ Web of Conferences |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/22/epjconf_chep2025_01246.pdf |