"Quantum Algorithms for Particle Physics"
Abstract: In this talk, I will review recent advances towards applying quantum computing to particle physics. Quantum technology offers the prospect to efficiently simulate sign-problem afflicted regimes in lattice field theory, such as the presence of topological terms, chemical potentials, and out-of-equilibrium dynamics. Moreover, quantum computing can be applied to optimization problems in collider physics. The path towards quantum computing for (3+1)D particle physics requires many incremental steps, including algorithmic development, hardware improvement, methods for circuit design, as well as error mitigation and correction techniques. After reviewing these requirements and recent advances, I will discuss the main challenges and future directions.
Quantum Computing
Machine Learning
Phenomenology