Hybrid Quantum-Classical Graph Convolutional Network

Understand

The high energy physics (HEP) community has a long history of dealing with large-scale datasets.

• To manage such voluminous data, classical machine learning and deep learning techniques have been employed to accelerate physics discovery.
• Recent advances in quantum machine learning (QML) have indicated the potential of applying these techniques in HEP.
• However, there are only limited results in QML applications currently available.