1 code implementation • 16 Aug 2020 • Jin-Guo Liu, Lei Wang, Pan Zhang
We present a unified exact tensor network approach to compute the ground state energy, identify the optimal configuration, and count the number of solutions for spin glasses.
Statistical Mechanics Quantum Physics Computation
1 code implementation • 10 Mar 2020 • Jin-Guo Liu, Taine Zhao
Reverse-mode automatic differentiation (AD) suffers from the issue of having too much space overhead to trace back intermediate computational states for back-propagation.
1 code implementation • 24 Dec 2019 • Jin-Guo Liu, Liang Mao, Pan Zhang, Lei Wang
We extend the ability of unitary quantum circuits by interfacing it with classical autoregressive neural networks.
Quantum Physics
1 code implementation • 23 Dec 2019 • Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang
We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design.
Quantum Physics Strongly Correlated Electrons Computational Physics
1 code implementation • 22 Mar 2019 • Hai-Jun Liao, Jin-Guo Liu, Lei Wang, Tao Xiang
Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and trains them using automatic differentiation (AD).
Strongly Correlated Electrons Quantum Physics
6 code implementations • 7 Feb 2019 • Jin-Guo Liu, Yi-Hong Zhang, Yuan Wan, Lei Wang
One can obtain a matrix product state (MPS) representation of the ground state using a number of qubits smaller than the physical degrees of freedom.
Quantum Physics Strongly Correlated Electrons
no code implementations • 10 Aug 2018 • Jinfeng Zeng, Yufeng Wu, Jin-Guo Liu, Lei Wang, Jiangping Hu
Quantum mechanics is inherently probabilistic in light of Born's rule.
4 code implementations • 11 Apr 2018 • Jin-Guo Liu, Lei Wang
However, similar to the leading implicit generative models in deep learning, such as the generative adversarial networks, the quantum circuits cannot provide the likelihood of the generated samples, which poses a challenge to the training.