Search Results for author: Jin-Guo Liu

Found 8 papers, 7 papers with code

Tropical Tensor Network for Ground States of Spin Glasses

1 code implementation16 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

Differentiate Everything with a Reversible Embeded Domain-Specific Language

1 code implementation10 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.

Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits

1 code implementation24 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

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design

1 code implementation23 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

Differentiable Programming Tensor Networks

1 code implementation22 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

Variational Quantum Eigensolver with Fewer Qubits

6 code implementations7 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

Differentiable Learning of Quantum Circuit Born Machine

4 code implementations11 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.

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