Jin-Peng Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Differential Equations

Monte Carlo Methods

Top Venues

J. Comput. Phys.

Proc. Natl. Acad. Sci. USA

Publications

Jin-Peng Liu, Lin Lin
Dense outputs from quantum simulations. J. Comput. Phys. 514 (2024)
Dong An, Jin-Peng Liu, Lin Lin
Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost. CoRR (2023)
Jin-Peng Liu, Lin Lin
Dense outputs from quantum simulations. CoRR (2023)
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang
Towards provably efficient quantum algorithms for large-scale machine-learning models. CoRR (2023)
Marco Bornstein, Jin-Peng Liu, Jingling Li, Furong Huang
Escaping From Saddle Points Using Asynchronous Coordinate Gradient Descent. CoRR (2022)
Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. NeurIPS (2022)
Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, Chenyi Zhang
Quantum simulation of real-space dynamics. CoRR (2022)
Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, Chenyi Zhang
Quantum simulation of real-space dynamics. Quantum 6 (2022)
Dong An, Jin-Peng Liu, Daochen Wang, Qi Zhao
A theory of quantum differential equation solvers: limitations and fast-forwarding. CoRR (2022)
Dong An, Di Fang, Stephen Jordan, Jin-Peng Liu, Guang Hao Low, Jiasu Wang
Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation. CoRR (2022)
Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. CoRR (2022)
Jin-Peng Liu, Herman Øie Kolden, Hari K. Krovi, Nuno F. Loureiro, Konstantina Trivisa, Andrew M. Childs
Efficient quantum algorithm for dissipative nonlinear differential equations. Proc. Natl. Acad. Sci. USA 118 (35) (2021)
Dong An, Noah Linden, Jin-Peng Liu, Ashley Montanaro, Changpeng Shao, Jiasu Wang
Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance. Quantum 5 (2021)
Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander
High-precision quantum algorithms for partial differential equations. Quantum 5 (2021)
Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander
High-precision quantum algorithms for partial differential equations. CoRR (2020)
Cong Sun, Jin-Peng Liu
New stepsizes for the gradient method. Optim. Lett. 14 (7) (2020)
Changpeng Shao, Jin-Peng Liu
Quantum algorithms for the polynomial eigenvalue problems. CoRR (2020)
Jin-Peng Liu, Herman Øie Kolden, Hari K. Krovi, Nuno F. Loureiro, Konstantina Trivisa, Andrew M. Childs
Efficient quantum algorithm for dissipative nonlinear differential equations. CoRR (2020)
Dong An, Noah Linden, Jin-Peng Liu, Ashley Montanaro, Changpeng Shao, Jiasu Wang
Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance. CoRR (2020)
Andrew M. Childs, Jin-Peng Liu
Quantum spectral methods for differential equations. CoRR (2019)