Abstract: Light-ray observables provide powerful probes of quantum dynamics, energy flow, and nonequilibrium phenomena in quantum field theories, yet their real-time nature makes them challenging to study using classical methods. In this talk, I will discuss recent advances in quantum algorithms for probing light-ray observables, including efficient implementations of real-time evolution, scalable initial-state preparation, and reduced errors ranging from algorithmic to quantum noise. These developments open new opportunities for studying dynamical phenomena and strongly correlated quantum systems on quantum computers.
Biography: Ying-Ying Li is an Associate Professor at the Institute of High Energy Physics (IHEP) and a Simons Emmy Noether Fellow at the Perimeter Institute for Theoretical Physics in Canada. She received her Ph.D. from HKUST in 2019, followed by postdoctoral research at Fermilab (2019–2022) and an Assistant Professorship at USTC (2022-2024). Dr. Li is the principal investigator of several research projects, including the NSFC Young Scientists Fund (Categories B and C) and a National Key R&D Program Young Scientist Project. Her research focuses on developing first-principles quantum computing frameworks for particle physics, aiming to provide new tools for studying non-perturbative dynamical processes at colliders.
https://meeting.tencent.com/dm/GgqFjFiDeELm
ID:354953086