Biography

Research Interest

• Quantum Simulation Algorithms
• Quantum Scientific Computation
• Quantum Machine Learning

Education Experience

• 2017 - 2022 | University of Maryland, College Park | Applied Mathematics and Scientific Computation | Ph.D | (Supervisor: Andrew Childs)
• 2013 - 2017 | Beihang University- Chinese Academy of Sciences | Mathematics（Hua Loo Keng Class） | B.Sc. | (Supervisor: Ya-xiang Yuan)

Work Experience

• 2024 - -- | Yau Mathematical Science Center, Tsinghua University | Assistant Professor
• 2023 - 2024 | Massachusetts Institute of Technology | Postdoctoral Associate
• 2022 - 2023 | University of California, Berkeley | Simons Quantum Postdoctoral Fellow

Honors and Awards

• 2024 | ICCM Best Thesis Award (Gold Prize)
• 2023 | NSF Robust Quantum Simulation Seed Grant（Co-PI）
• 2023 | James C. Alexander Prize
• 2021 | NSF QISE-NET Triplet Award

Publication

• [1] P Schleich, T Kharazi, X Li, JP Liu, A Aspuru-Guzik, N Wiebe, Arbitrary Boundary Conditions and Constraints in Quantum Algorithms for Differential Equations via Penalty Projections, arXiv (2025)
• [2] F Wei, R Lu, Y Shao, J Li, JP Liu, Z Liu, BELT: Block Encoding of Linear Transformation on Density Matrices, arXiv (2025)
• [3] R Lu, HE Li, Z Liu, JP Liu, Infinite-dimensional Extension of the Linear Combination of Hamiltonian Simulation: Theorems and Applications, arXiv (2025)
• [4] D An, JP Liu, D Wang, Q Zhao, Quantum Differential Equation Solvers: Limitations and Fast-Forwarding: D. An, J.-P. Liu, D. Wang, Q. Zhao, Communications in Mathematical Physics, 406(8), 189 (2025)
• [5] Y Wang, R Jiang, Y Fan, X Jia, J Eisert, J Liu, JP Liu, Towards efficient quantum algorithms for diffusion probability models, arXiv (2025)
• [6] T Kharazi, AM Alkadri, JP Liu, KK Mandadapu, KB Whaley, Explicit block encodings of boundary value problems for many-body elliptic operators, Quantum, 9, 1764 (2025)
• [7] Zhenning Liu, Xiantao Li, Chunhao Wang, Jin-Peng Liu, Toward end-to-end quantum simulation for protein dynamics, arXiv:2411.03972 (2024)
• [8] C Peng, JP Liu, GW Chern, D Luo, Provably efficient adiabatic learning for quantum-classical dynamics, arXiv (2024)
• [9] J Liu, M Liu, JP Liu, Z Ye, Y Wang, Y Alexeev, J Eisert, L Jiang, Towards provably efficient quantum algorithms for large-scale machine-learning models, Nature Communications, 15(1), 434 (2024)
• [10] JP Liu, L Lin, Dense outputs from quantum simulations, Journal of Computational Physics, 514, 113213 (2024)
• [11] D An, JP Liu, L Lin, Linear combination of Hamiltonian simulation for nonunitary dynamics with optimal state preparation cost, Physical Review Letters, 131(15), 150603 (2023)
• [12] D An, D Fang, S Jordan, JP Liu, GH Low, J Wang, Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation, Communications in Mathematical Physics, 404, 963-1020 (2023)
• [13] AM Childs, T Li, JP Liu, C Wang, R Zhang, Quantum algorithms for sampling log-concave distributions and estimating normalizing constants, Advances in Neural Information Processing Systems, 35, 23205-23217 (2022)
• [14] C Shao, JP Liu, Solving generalized eigenvalue problems by ordinary differential equations on a quantum computer, Proceedings of the Royal Society A, 478(2262), 20210797 (2022)
• [15] AM Childs, J Leng, T Li, JP Liu, C Zhang, Quantum simulation of real-space dynamics, Quantum, 6, 860 (2022)
• [16] D An, N Linden, JP Liu, A Montanaro, C Shao, J Wang, Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance, Quantum, 5 (2021)
• [17] AM Childs, JP Liu, A Ostrander, High-precision quantum algorithms for partial differential equations, Quantum, 5, 574 (2021)
• [18] JP Liu, HØ Kolden, HK Krovi, NF Loureiro, K Trivisa, AM Childs, Efficient quantum algorithm for dissipative nonlinear differential equations, Proceedings of the National Academy of Sciences, 118(35), e2026805118 (2021)
• [19] C Sun, JP Liu, New stepsizes for the gradient method, Optimization Letters, 14(7), 1943-1955 (2020)
• [20] AM Childs, JP Liu, Quantum spectral methods for differential equations, Communications in Mathematical Physics, 375, 1427-1457 (2020)