Jin-Peng Liu
Graduate Student (2018-2022)
Visitor Affiliation

Contact Information
- jliu1219@terpmail.umd.edu
- Office:
3106 Atlantic Building
Bio
Jin-Peng Liu received his Ph.D. in Applied Mathematics & Statistics, and Scientific Computation Program from the University of Maryland in 2022. He received NSF QISE-NET Triplet Award in 2021. He was a long-term visitor at Simons Institute in 2020. He focused mainly on the design and analysis of quantum algorithms for scientific computational problems, including topics such as linear and nonlinear differential equations, quantum dynamics, and stochastic processes, with applications in areas such as fluid dynamics, biology, quantum chemistry, economics, and finance. His adviser was Andrew Childs. After QuICS, he continued on as a Simons Quantum Postdoctoral Fellow at Simons Institute and UC Berkeley, hosted by Umesh Vazirani and Lin Lin.
Recent Publications
Quantum algorithms for sampling log-concave distributions and estimating normalizing constants
, , Advances in Neural Information Processing Systems (NeurIPS 2022), (2024)Toward end-to-end quantum simulation for protein dynamics
, , arXiv, (2024)A theory of quantum differential equation solvers: limitations and fast-forwarding
, , arXiv, (2023)
Visit Dates
Related Events
March 29, 2023 11:00 amQuICS seminarTowards Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Large-scale Machine Learning Models
Jin-Peng Liu(UC Berkeley and MIT)
April 6, 2022 12:00 pmDissertation DefenseQuantum algorithms for linear and nonlinear differential equations
Jin-Peng Liu(QuICS)
April 8, 2021 3:00 pmIQC-QuICS Math-CS SeminarEfficient quantum algorithm for dissipative nonlinear differential equations
Jin-Peng Liu(QuICS)

