Jin-Peng Liu

25 papers A* 1Journal 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantum Speedups for Derivative Pricing Beyond Black-Scholes.
CoRR
Dylan Herman, Yue Sun, Jin-Peng Liu, Marco Pistoia, Charlie C. L. Wang, Rob Otter, Shouvanik Chakrabarti, Aram W. Harrow
2025 J jnl
Explicit block encodings of boundary value problems for many-body elliptic operators.
Quantum
Tyler Kharazi, Ahmad M. Alkadri, Jin-Peng Liu, Kranthi K. Mandadapu, K. Birgitta Whaley
2025 J jnl
Infinite-dimensional Extension of the Linear Combination of Hamiltonian Simulation: Theorems and Applications.
CoRR
Rundi Lu, Hao-En Li, Zhengwei Liu, Jin-Peng Liu
2025 J jnl
Towards efficient quantum algorithms for diffusion probability models.
CoRR
Yunfei Wang, Ruoxi Jiang, Yingda Fan, Xiaowei Jia, Jens Eisert, Junyu Liu, Jin-Peng Liu
2024 J jnl
Dense outputs from quantum simulations.
J. Comput. Phys.
Jin-Peng Liu, Lin Lin
2024 J jnl
Toward end-to-end quantum simulation for protein dynamics.
CoRR
Zhenning Liu, Xiantao Li, Chunhao Wang, Jin-Peng Liu
2023 J jnl
Dense outputs from quantum simulations.
CoRR
Jin-Peng Liu, Lin Lin
2023 J jnl
Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost.
CoRR
Dong An, Jin-Peng Liu, Lin Lin
2023 J jnl
Towards provably efficient quantum algorithms for large-scale machine-learning models.
CoRR
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang
2022 J jnl
A theory of quantum differential equation solvers: limitations and fast-forwarding.
CoRR
Dong An, Jin-Peng Liu, Daochen Wang, Qi Zhao
2022 J jnl
Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation.
CoRR
Dong An, Di Fang, Stephen Jordan, Jin-Peng Liu, Guang Hao Low, Jiasu Wang
2022 J jnl
Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent.
CoRR
Marco Bornstein, Jin-Peng Liu, Jingling Li, Furong Huang
2022 A* conf
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants.
NeurIPS
Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang
2022 J jnl
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants.
CoRR
Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang
2022 J jnl
Quantum simulation of real-space dynamics.
CoRR
Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, Chenyi Zhang
2022 J jnl
Quantum simulation of real-space dynamics.
Quantum
Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, Chenyi Zhang
2021 J jnl
Efficient quantum algorithm for dissipative nonlinear differential equations.
Proc. Natl. Acad. Sci. USA
Jin-Peng Liu, Herman Øie Kolden, Hari K. Krovi, Nuno F. Loureiro, Konstantina Trivisa, Andrew M. Childs
2021 J jnl
High-precision quantum algorithms for partial differential equations.
Quantum
Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander
2021 J jnl
Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance.
Quantum
Dong An, Noah Linden, Jin-Peng Liu, Ashley Montanaro, Changpeng Shao, Jiasu Wang
2020 J jnl
Efficient quantum algorithm for dissipative nonlinear differential equations.
CoRR
Jin-Peng Liu, Herman Øie Kolden, Hari K. Krovi, Nuno F. Loureiro, Konstantina Trivisa, Andrew M. Childs
2020 J jnl
High-precision quantum algorithms for partial differential equations.
CoRR
Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander
2020 J jnl
New stepsizes for the gradient method.
Optim. Lett.
Cong Sun, Jin-Peng Liu
2020 J jnl
Quantum algorithms for the polynomial eigenvalue problems.
CoRR
Changpeng Shao, Jin-Peng Liu
2020 J jnl
Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance.
CoRR
Dong An, Noah Linden, Jin-Peng Liu, Ashley Montanaro, Changpeng Shao, Jiasu Wang
2019 J jnl
Quantum spectral methods for differential equations.
CoRR
Andrew M. Childs, Jin-Peng Liu