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Found 2 papers, 1 papers with code
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
This increase in luminosity will significantly increase the number of particles interacting with the detector.
Hierarchical clustering with deep Q-learning
The reconstruction and analyzation of high energy particle physics data is just as important as the analyzation of the structure in real world networks.
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