Dong An

An, D., Childs, A. M., Lin, L., & Ying, L. (2024). Laplace transform based quantum eigenvalue transformation via linear combination of Hamiltonian simulation. ArXiv. Retrieved from https://arxiv.org/abs/2411.04010 (Original work published November 2024)

Costa, P., An, D., Babbush, R., & Berry, D. (2023). The discrete adiabatic quantum linear system solver has lower constant factors than the randomized adiabatic solver. ArXiv. Retrieved from https://arxiv.org/abs/2312.07690 (Original work published December 2023)

An, D., Liu, J.-P., & Lin, L. (2023). Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost. Phys. Rev. Lett., 131. http://doi.org/10.1103/PhysRevLett.131.150603 (Original work published October 2023)

Costa, P., An, D., Sanders, Y., Su, Y., Babbush, R., & Berry, D. (2022). Optimal scaling quantum linear systems solver via discrete adiabatic theorem. PRX Quantum, 3, 040303. http://doi.org/10.1103/PRXQuantum.3.040303 (Original work published October 2022)

An, D., Fang, D., & Lin, L. (2022). Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics and Superconvergence for Schrödinger Equation. Quantum, 6, 690. http://doi.org/10.22331/q-2022-04-15-690 (Original work published April 2022)

Costa, P., An, D., Sanders, Y., Su, Y., Babbush, R., & Berry, D. (2021). Optimal scaling quantum linear systems solver via discrete adiabatic theorem. ArXiv. Retrieved from https://arxiv.org/abs/2111.08152 (Original work published November 2021)

An, D., Linden, N., Liu, J.-P., Montanaro, A., Shao, C., & Wang, J. (2021). Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance. Quantum, 5, 481. http://doi.org/10.22331/q-2021-06-24-481 (Original work published June 2021)

Aftab, J., An, D., & Trivisa, K. (2024). Multi-product Hamiltonian simulation with explicit commutator scaling. ArXiv. Retrieved from https://arxiv.org/abs/2403.08922 (Original work published March 2024)

An, D., Fang, D., Jordan, S., Liu, J.-P., Low, G., & Wang, J. (2023). Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation. ArXiv. Retrieved from https://arxiv.org/abs/2205.01141 (Original work published November 2023)

An, D., Liu, J.-P., Wang, D., & Zhao, Q. (2023). A theory of quantum differential equation solvers: limitations and fast-forwarding. ArXiv. Retrieved from https://arxiv.org/abs/2211.05246 (Original work published May 2023)