Jin-Guo Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Optimization Problems

Probabilistic Inference

Programming Language

Top Venues

Mach. Learn. Sci. Technol.

SIAM J. Sci. Comput.

Publications

Martin Roa Villescas, Xuanzhao Gao, Sander Stuijk, Henk Corporaal, Jin-Guo Liu
Probabilistic Inference in the Era of Tensor Networks and Differential Programming. CoRR (2024)
Jin-Guo Liu, Xun Gao, Madelyn Cain, Mikhail D. Lukin, Sheng-Tao Wang
Computing Solution Space Properties of Combinatorial Optimization Problems Via Generic Tensor Networks. SIAM J. Sci. Comput. 45 (3) (2023)
Martin Roa Villescas, Jin-Guo Liu
TensorInference: A Julia package for tensor-based probabilistic inference. J. Open Source Softw. 8 (90) (2023)
Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz, Mikhail D. Lukin, Sheng-Tao Wang, Hannes Pichler
Quantum optimization with arbitrary connectivity using Rydberg atom arrays. CoRR (2022)
Jin-Guo Liu, Liang Mao, Pan Zhang, Lei Wang
Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits. Mach. Learn. Sci. Technol. 2 (2) (2021)
Tong Liu, Jin-Guo Liu, Heng Fan
Probabilistic nonunitary gate in imaginary time evolution. Quantum Inf. Process. 20 (6) (2021)
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang
Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design. Quantum 4 (2020)
Jin-Guo Liu, Taine Zhao
Differentiate Everything with a Reversible Programming Language. CoRR (2020)
Jinfeng Zeng, Yufeng Wu, Jin-Guo Liu, Lei Wang, Jiangping Hu
Learning and Inference on Generative Adversarial Quantum Circuits. CoRR (2018)
Jin-Guo Liu, Lei Wang
Differentiable Learning of Quantum Circuit Born Machine. CoRR (2018)