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Quantum Convolutional Neural Networks for High-Energy Physics Analysis at the LHC
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.
Go to Project Site GitHub v1.0.0 Docs Tutorial MIT License
Quantum Convolutional Neural Networks for High-Energy Physics Analysis at the LHC
Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme
Undergraduate Thesis Project.
This research proposed a modification scheme of the VQA-based Data Reuploading Classifier (DRC) and a DRC-based quantum convolution scheme for MNIST classification. The proposals achieved an improvement in accuracy compared to the previous related works.
GitHub
Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme