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Dong An
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2023
D. An
,
Liu, J. - P.
,
Wang, D.
, and
Zhao, Q.
,
“
A theory of quantum differential equation solvers: limitations and fast-forwarding
”
, 2023.
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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.
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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.
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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.
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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.
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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.
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