Research Areas

Quantum Simulation Algorithms, Quantum Scientific Computation, Quantum Machine Learning

Education

2013-2017 Bachelor, Beihang University- Chinese Academy of Sciences Hua Loo Keng Class

2017-2022 Doctor, University of Maryland, College Park

Work Experience

2024-present Assistant Professor YAU Mathematical Science Center, Tsinghua University

2023-2024 Postdoctoral Associate, Massachusetts Institute of Technology

2022-2023 Simons Quantum Postdoctoral Fellow, University of California, Berkeley

Honors and Awards

2024 ICCM Best Thesis Award (Gold Prize)

2023-2024 NSF Robust Quantum Simulation Seed Grant（Co-PI）

2023 James C. Alexander Prize

2023 MIT CTP Postdoctoral Scholarship

2022 Simons Quantum Postdoctoral Fellowship

2022 Stanford Q-FARM Bloch Fellowship

2021 NSF QISE-NET Triplet Award

Publications

(Google Scholar https://scholar.google.com/citations?user=4dExDoAAAAAJ&hl=en)

[1] Provably Efficient Adiabatic Learning for Quantum-Classical Dynamics (with C.Peng, G-W.Chern, and D.Luo) arXiv:2408.00276

[2] Explicit block encodings of boundary value problems for many-body elliptic operators (with T.Kharazi, A.M.Alkadri, K.K.Mandadapu, and K.B.Whaley) arXiv:2407.18347

[3] Dense outputs from quantum simulations (with L.Lin) Journal of Computational Physics 113213 (2024)

[4] Towards provably efficient quantum algorithms for large-scale machine-learning

models (with J.Liu, M.Liu, Z.Ye, Y.Alexeev, J.Eisert, and L.Jiang) Nature Communications 15, 434 (2024).

[5] Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost (with D.An and L.Lin) Physical Review Letters 131, 150603 (2023)

[6] A theory of quantum differential equation solvers: limitations and fast-forwarding (with D.An, D.Wang, and Q.Zhao) arXiv:2211.05246

[7] Quantum algorithms for sampling log-concave distributions and estimating normalizing constants (with A.M.Childs, T.Li, C.Wang, and R.Zhang) Advances in Neural Information Processing Systems 35, 23205–23217 (NeurIPS 2022)

[8] Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation (with D.An, D.Fang, S.Jordan, G.Low, and J.Wang) Communications in Mathematical Physics 404, 963-1020 (2023)

[9] Quantum simulation of real-space dynamics (A.M.Childs, J.Leng, T.Li,, C.Zhang) Quantum 6, 860 (2022)

[10] Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance (with D.An, N.Linden, A.Montanaro, C.Shao, and J.Wang) Quantum 5, 481 (2021)

[11] Efficient quantum algorithm for dissipative nonlinear differential equations (with H. Ø.Holden, H.K.Krovi, N.F.Loureiro, K.Trivisa, and A.M.Childs) Proceedings of the National Academy of Sciences 118, 35 (2021)

[12] Solving generalized eigenvalue problems by ordinary differential equations on a quantum computer (with C.Shao) Proceedings of the Royal Society A 478, 20210797 (2022)

[13] High-precision quantum algorithms for partial differential equations (with A.M.Childs and A.Ostrander) Quantum 5, 574 (2021)

[14] Quantum spectral methods for differential equations (with A.M.Childs) Communications in Mathematical Physics 375, 1427-1457 (2020)

[15] New stepsizes for the gradient method (with C.Sun) Optimization Letters 14, 1943-1955 (2020)