Quantum (Inspired) Algorithms for Collider Physics
Particle physicists have developed numerous classical algorithms to process data from high-energy particle collisions. Computational efficiency is an important criteria for selecting collider data analysis strategies, which is often weighed more heavily than physics performance. Could quantum algorithms change the kinds of analysis tools we use for collider physics? Could quantum principles like superposition and unitary inspire new kinds of classical algorithms? Drawing on examples from the study of jets from quantum chromodynamics, I explain some of the conceptual challenges for developing quantum algorithms for collider physics and some of the quantum-inspired advances that have already found applications.
Seminar video: QuantHEP Seminar YouTube channel