CS Colloquium: Taozhi Guo

Speaker:  Taozhi Guo

Date:  Wednesday, January 7, 2025

Time:  3:30 PM - 4:30 PM

Location:  Harold Frank Hall 1132

Host:  Murphy Niu

Title:  Dynamic Quantum Circuits for Simulating Strongly Correlated Matter

Abstract:  This talk will focus on our work developing efficient quantum simulations of correlated materials within dynamical mean-field theory (DMFT). A key challenge is preparing accurate impurity–bath states on near-term quantum hardware, and we address this by expressing these correlated states as matrix product states (MPS) and translating that structure into dynamic quantum circuits that prepare the corresponding tensor-network states at shallow depth. This approach improves fidelity, reduces circuit depth, and offers a practical route toward DMFT-based materials simulations on emerging quantum devices. I will also briefly highlight how related tensor-network ideas extend to classical optimization in Wishart-planted spin-glass models, where a subsystem-based meta-heuristic achieves polynomial scaling and near-optimal energies for large system sizes. Together, these results illustrate how tensor-network structure can guide scalable strategies for both quantum simulation and optimization.   

Speak Bio:  Taozhi Guo is a sixth-year Ph.D. candidate in Physics at Princeton University, working with Prof. Shinsei Ryu. His research focuses on quantum many-body physics, quantum information science, and quantum simulation. His work centers on quantum algorithms for state preparation and simulation, the transport and dynamics of many-body quantum systems, and quantum information dynamics.