126 citations · 143 across the 3 of their papers we have counts for
7 papers
Supervised Learning with Projected Entangled Pair States
Song Cheng, Lei Wang, Pan Zhang
Tensor networks, a model that originated from quantum physics, has been gradually generalized as efficient models in machine learning in recent years. However, in order to achieve…
Tropical Tensor Network for Ground States of Spin Glasses
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. The m…
Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
Jin-Guo Liu, Liang Mao, Pan Zhang +1
We extend the ability of unitary quantum circuits by interfacing it with classical autoregressive neural networks. The combined model parametrizes a variational density matrix as a…
Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang +1
We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design. Yao features generic and differentiable programming of quantum circuits. It achieves…
Tree Tensor Networks for Generative Modeling
Song Cheng, Lei Wang, Tao Xiang +1
Matrix product states (MPS), a tensor network designed for one-dimensional quantum systems, has been recently proposed for generative modeling of natural data (such as images) in t…
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu, Lei Wang, Pan Zhang
We propose a general framework for solving statistical mechanics of systems with finite size. The approach extends the celebrated variational mean-field approaches using autoregres…