GSoC 2024 Projects Related To QMLHEP

QMLHEP project implements Quantum Machine Learning methods for physics analysis.

Project Proposals

• Implementation of Quantum Generative Adversarial Networks to Perform High Energy Physics Analysis at the LHC

• Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC

• Learning quantum representations of classical high energy physics data with contrastive learning

• Equivariant quantum neural networks for High Energy Physics Analysis at the LHC

• Quantum transformer for High Energy Physics Analysis at the LHC