Contact: 101 McAllister Building Penn State University University Park, PA 16802 Email: XXL12 AT PSU DOT EDU My weekly schedule

Xiantao Li Professor Department of Mathematics Penn State University Full CV Research Publications ; Quantum Computing Algorithms: Our Research in Quantum Computing Quantum transport and Open Quantum System Stochastic analysis and modeling Ab initio molecular dynamics and electronic structure Coarse-grained molecular dynamics Reduced-order modeling Data assimilation and Data-driven methods. Computational Mechanics. Nano-scale non-Fourier heat conduction Scientific Computing and Numerical Analysis in General.

recent events: "SIAM Conference on Mathematical Aspects of Materials Science " Quantum Algorithms for Open Quantum Systems. May, 2024. "APS Marching Meeting" Quantum Algorithms for DFT. March, 2024. "Quantum Computer Systems (QuCS) Lecture Series" Introduction to Open Quantum System. Oct 19, 2023. ICDS Fall 2023 Symposium: Discover to Impact Panel member: The Past, Present and Future of Quantum Computing; Oct 19, 2023. Numerical Analysis of Galerkin ROMs (NA G-ROMs)" Oct 18, 2023. Talk: Reduced-order modeling techniques in computational chemistry; Slides; Youtube video IPAM workshop on Quantum algorithms for scientific computation Oct 2--6, 2023. Talk: Open Quantum Systems in Quantum Computing; Slides; Youtube video Fortieth International Conference on Machine Learning July 23--28, 2023. Talk: "Efficient Quantum Algorithms for Quantum Optimal Control Problems". (paper Link) IPAM workshop on New Mathematics for the Exascale: Applications to Materials Science April 17--21, 2023. Talk: "A stochastic algorithm for self-consistent calculations in Density-Functional Theory". (Youtube link) APS March Meeting March, 2023. Talk: "Quantum Algorithms for Quantum Optimal Control Problems with Precise Cost Estimates". (APS Link) SIAM Annual Meeting July 11 - 15, 2022. Dynamics Days. August 23-27, 2021. SIAM Material Science Meeting. May 17 - 28, 2021. SIAM CSE Meeting March 1-5, 2020.

Teaching Math/CSE 551: Numerical Solutions of Differential Equations. Solutions of ODEs and SDEs ODE/SDE-based Data-Driven methods Reduced-order modeling Math 452: Deep Learning Algorithms and Analysis Recent Presentations. In Spring 2023, I am teaching a Topics Course on Quantum-Related Computations (Quantum Dynamics, Density-functional Theory, Quantum Computing, etc.) A presentation on Unravelling non-Markovian open quantum systems. A presentation on Mori-Zwanzig formalism for complex dynamics models I have organized a workshop on Dimension Reduction. Seminars. I am organizing a quantum machine learning working seminar CAM Colloquium: Quantum-related math seminars in Fall 2023: Feb 20 ; March 13 ; Apr 10 Teaching and Mentoring Current graduate student: He Zhang; Taehee Ko; Yushang Luo. Former students: Adam Telatovich; Weiqi Chu; Xiaojie Wu, Chao Liang. Rresearch projects for undergraduate students. Check back later for summer research projects in 2020. Our graduate program.