Dong An

University of Maryland

Dong An is a QuICS Hartree Postdoctoral Fellow in quantum information science at the University of Maryland. His research interests include quantum algorithms, computational quantum mechanics, and an interdisciplinary study on quantum computing and applied mathematics, with focuses on adiabatic quantum computing, quantum simulation, and quantum algorithms for linear systems and differential equations. He received his doctorate in applied mathematics from University of California, Berkeley in 2021.

Talk: Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost