Jet Discrimination with Quantum Complete Graph Neural Network

arXiv:2403.04990v1 Announce Type: cross
Abstract: Machine learning, particularly deep neural networks, has been widely utilized in high energy physics and has shown remarkable results in various applications. Moreover, the concept of machine learning has been extended to quantum computers, giving rise to a new research area known as quantum machine learning. In this paper, we propose a novel variational quantum circuit model, Quantum Complete Graph Neural Network (QCGNN), designed for learning complete graphs. We argue that QCGNN has a polynomial …

abstract applications arxiv computers concept cs.lg discrimination energy giving graph graph neural network hep-ph machine machine learning network networks neural network neural networks physics quant-ph quantum quantum computers research results type