Dong An

Dong An is an Assistant Professor at the Beijing International Center for Mathematical Research (BICMR), Peking University, since September 2024. He previously held a QuICS Hartree Postdoctoral Fellowship at the University of Maryland (2021-2024). He earned his Ph.D. in Applied Mathematics (2021) from UC Berkeley under Professor Lin Lin and a B.S. in Computational Mathematics (2016) from Peking University.

• Research Focus: Quantum algorithms for classical scientific computing problems and classical algorithms for quantum many-body problems.
• Key Areas: Quantum simulation, Hamiltonian dynamics, quantum linear systems, differential equations, and adiabatic quantum computing.

Publications highlight advancements in quantum differential equation solvers, linear combinations of Hamiltonian simulations, and multi-product methods with explicit commutator scaling. His work bridges theoretical quantum computing and practical scientific computation, emphasizing optimal parameter dependence and error bounds.

Scientific Awards:

• Co-Principal Investigator of NSF Robust Quantum Simulation Seed Grant
• QuICS Hartree Fellowship
• Bernard Friedman Memorial Prize in Applied Mathematics
• Multiple honors from Peking University

Teaching: Currently instructs graduate-level quantum algorithms courses at Peking University. Previously served as a teaching assistant for differential equations and calculus at UC Berkeley.

Service: Organizer for workshops on quantum differential equations and SIAM special sessions. Active reviewer for journals like PRX Quantum and conferences including QIP and TQC.