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Author Title [ Type(Desc)] Year
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Journal Article
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, 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, 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.
J. Aftab, An, D., and Trivisa, K., “Multi-product Hamiltonian simulation with explicit commutator scaling”, 2024.
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.
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, Childs, A. M., and Lin, L., “Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters”, 2023.
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.
D. An, Liu, J. - P., Wang, D., and Zhao, Q., “A theory of quantum differential equation solvers: limitations and fast-forwarding”, 2022.
D. An, Liu, J. - P., Wang, D., and Zhao, Q., “A theory of quantum differential equation solvers: limitations and fast-forwarding”, 2023.
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.