Quantum Machine Learning and Qubit Technology Applications for Particle Physics

by Prof. Koji Terashi (University of Tokyo)

Wednesday 30 Oct 2024, 11:15 → 12:45 Europe/Zurich

Stückelberg auditorium (Ecole de physique)

Quantum computing may offer an intriguing path for paradigm changes in computational science. Among potential quantum computing applications, simulation of quantum many-body phenomena and learning of quantum states/processes are where we expect to have quantum advantage over classical counterparts in computational resource. In this talk, I will present our recent studies of quantum machine learning including applications to particle physics. While qubit technology is the foundation of quantum computing, it will also provide a means of probing the nature as a quantum sensing device. I will highlight our recent activities of utilizing superconducting qubits to search for dark matter, and the initial findings and prospects in the experiment.

QC_seminar_UniGe_241030-min.pdf