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Author Title Type [ Year(Desc)]
Filters: Author is Dong An  [Clear All Filters]
2021
P. C. S. Costa, An, D., Sanders, Y. R., Su, Y., Babbush, R., and Berry, D. W., “Optimal scaling quantum linear systems solver via discrete adiabatic theorem”, 2021.
D. An, Linden, N., Liu, J. - P., Montanaro, A., Shao, C., and Wang, J., “Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance”, Quantum 5, 481 (2021), vol. 5, p. 481, 2021.
2022
P. C. S. Costa, An, D., Sanders, Y. R., Su, Y., Babbush, R., and Berry, D. W., “Optimal scaling quantum linear systems solver via discrete adiabatic theorem”, PRX Quantum, vol. 3, no. 4, p. 040303, 2022.
D. An, Liu, J. - P., Wang, D., and Zhao, Q., “A theory of quantum differential equation solvers: limitations and fast-forwarding”, 2022.
D. An, Fang, D., Jordan, S., Liu, J. - P., Low, G. Hao, and Wang, J., “Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation”, 2022.
D. An, Fang, D., and Lin, L., “Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics and Superconvergence for Schrödinger Equation”, Quantum, vol. 6, p. 690, 2022.
2023
D. An, Liu, J. - P., and Lin, L., “Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost”, Phys. Rev. Lett., vol. 131, no. 150603, 2023.
P. C. S. Costa, An, D., Babbush, R., and Berry, D., “The discrete adiabatic quantum linear system solver has lower constant factors than the randomized adiabatic solver”, 2023.
D. An, Childs, A. M., and Lin, L., “Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters”, 2023.
D. An, Liu, J. - P., Wang, D., and Zhao, Q., “A theory of quantum differential equation solvers: limitations and fast-forwarding”, 2023.
2024
J. Aftab, An, D., and Trivisa, K., “Multi-product Hamiltonian simulation with explicit commutator scaling”, 2024.