Differentiable Learning of Quantum Circuit Born Machine. - Jin-Guo Liu; Lei Wang (CoRR, 2018)

Learning and Inference on Generative Adversarial Quantum Circuits. - Jinfeng Zeng; Yufeng Wu; Jin-Guo Liu; Lei Wang; Jiangping Hu (CoRR, 2018)

Differentiate Everything with a Reversible Programming Language. - Jin-Guo Liu; Taine Zhao (CoRR, 2020)

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design. - Xiu-Zhe Luo; Jin-Guo Liu; Pan Zhang; Lei Wang (Quantum, 2020)

Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits. - Jin-Guo Liu; Liang Mao; Pan Zhang; Lei Wang (Mach. Learn. Sci. Technol., 2021)

Probabilistic nonunitary gate in imaginary time evolution. - Tong Liu; Jin-Guo Liu; Heng Fan 002 (Quantum Inf. Process., 2021)

Quantum optimization with arbitrary connectivity using Rydberg atom arrays. - Minh-Thi Nguyen; Jin-Guo Liu; Jonathan Wurtz; Mikhail D. Lukin; Sheng-Tao Wang; Hannes Pichler (CoRR, 2022)

Computing Solution Space Properties of Combinatorial Optimization Problems Via Generic Tensor Networks. - Jin-Guo Liu; Xun Gao; Madelyn Cain; Mikhail D. Lukin; Sheng-Tao Wang (SIAM J. Sci. Comput., 2023)

TensorInference: A Julia package for tensor-based probabilistic inference. - Martin Roa Villescas; Jin-Guo Liu (J. Open Source Softw., 2023)

Probabilistic Inference in the Era of Tensor Networks and Differential Programming. - Martin Roa Villescas; Xuanzhao Gao; Sander Stuijk; Henk Corporaal; Jin-Guo Liu (CoRR, 2024)

Automated Discovery of Branching Rules with Optimal Complexity for the Maximum Independent Set Problem. - Xuan-Zhao Gao; Yi-Jia Wang; Pan Zhang; Jin-Guo Liu (CoRR, 2024)