Graduate Student

2115 Atlantic Building

Jin-Peng Liu is a doctoral student in Applied Mathematics & Statistics, and Scientific Computation Program at the University of Maryland. He aims to develop quantum algorithms with sup-polynomial speed-ups over classical algorithms, including topics such as quantum solvers for linear and nonlinear differential equations, quantum simulation, quantum optimization and machine learning, and quantum computational finance. His adviser is Andrew Childs.

“Quantum spectral methods for differential equations”, Commun. Math. Phys. , vol. 375, pp. 1427-1457, 2020. ,

“New stepsizes for the gradient method”, Optim Lett , 2019. ,