ericardomuten/qcnn-hep
A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quantum Convolutional Neural Network (QCNN), in HEP events classification from particle image data. The code used in the research is wrapped as an open-source package to ease future research in this field.
This project helps high-energy physicists classify particle collision events using quantum machine learning. It takes images of particle jets as input and determines whether they represent a desired signal or background noise. This tool is for researchers in high-energy physics exploring advanced methods for event classification at facilities like the LHC.
No commits in the last 6 months.
Use this if you are a high-energy physicist or researcher looking to apply and experiment with Quantum Convolutional Neural Networks for event classification from particle image data.
Not ideal if you are looking for a classical machine learning solution or a tool for general image classification outside of high-energy physics.
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Jupyter Notebook
License
MIT
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Last pushed
Oct 23, 2024
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