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Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction

How to use?

First, please refer to our installation guide to setup the necessary tools.

Use train.py to train a model.

Models are available in qnetworks folder.

Choose the model and other hyperparameters using a configuration file (see configs folder for examples).

Execute the following to train a model.

python3 train.py [PATH-TO-CONFIG-FILE] 1 

or use the following to train multiple instances in parallel.

source send_jobs_multiple.sh [PATH-TO-CONFIG-FILE] [NUM_RUNS]

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  • Python 98.0%
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