Quantum Transformers for HEP Analysis at the LHC

This project aims to develop quantum transformer architectures for high energy physics (HEP) analysis at the Large Hadron Collider (LHC). The focus will be on creating hybrid and fully quantum transformer and vision transformer models. Transformers have proven to be extremely powerful, revolutionizing the field of artificial intelligence and significantly impacting the world with their wide range of applications. By merging the remarkable capabilities of transformers with the emerging field of quantum machine learning, this project aims to make significant advancements in both areas. To ensure accessibility, an engaging visual guide will be provided, helping a wider audience understand the subject and fostering interest in quantum machine learning. The outcomes of the project are expected to benefit the open-source community and contribute to scientific advancements, inspiring further research and innovation in these exciting fields.