Quantum Simulation for High-Energy Physics

It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a main-stream topic in the community. This fact speaks of a remarkable rate of growth of this subfield over the past few years, stimulated by the impressive advancements in quantum information sciences (QIS) and associ-ated technologies over the past decade, and the significant investment in this area by the government and private sectors in the U.S. and other countries. High-energy physicists have quickly identified problems of importance to our understanding of nature at the most fundamental level, from tiniest distances to cos-mological extents, that are intractable with classical computers but may benefit from quantum advantage. They have initiated, and continue to carry out, a vigorous program in theory, algorithm, and hardware co -design for simulations of relevance to the HEP mission. This Roadmap is an attempt to bring this exciting and yet challenging area of research to the spotlight, and to elaborate on what the promises, requirements, challenges, and potential solutions are over the next decade and beyond.

Automated summary

For the first time, the U.S. decadal particle-physics community planning has studied quantum simulation for high-energy physics (HEP), which was not considered mainstream in the community until recently. This shows the rapid growth of this subfield in recent years, driven by advancements in quantum information sciences (QIS) and associated technologies, and significant investments in this area by the U.S. government and other countries. High-energy physicists have identified problems of fundamental importance that cannot be solved by classical computers but may benefit from quantum advantage. They are actively pursuing a program in theory, algorithm, and hardware co-design for simulations relevant to the HEP mission. This Roadmap aims to bring attention to and discuss the promises, requirements, challenges, and potential solutions in this exciting and challenging research area over the next decade and beyond.