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
Linear combination of Hamiltonian simulation for nonunitary dynamics with optimal state preparation cost
, , arXiv, (2023)A theory of quantum differential equation solvers: limitations and fast-forwarding
, , arXiv, (2022)Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation
, , arXiv, (2022)
Visit Dates
Related Events
- March 29, 2023 11:00 amQuICS seminar
Towards 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 Defense
Quantum algorithms for linear and nonlinear differential equations
Jin-Peng Liu(QuICS)
- April 8, 2021 3:00 pmIQC-QuICS Math-CS Seminar
Efficient quantum algorithm for dissipative nonlinear differential equations
Jin-Peng Liu(QuICS)