Dong An
University of Maryland
Postdoctoral Researcher
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Bio
Dong An is a QuICS Hartree Postdoctoral Fellow in quantum information science. 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. https://dong-an.github.io
Recent Publications
Multi-product Hamiltonian simulation with explicit commutator scaling
, , arXiv, (2024)Linear combination of Hamiltonian simulation for nonunitary dynamics with optimal state preparation cost
, , arXiv, (2023)Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters
, , arXiv, (2023)
Research Group
Childs Research Group