261 citations · 1.1k across the 12 of their papers we have counts for
12 papers
Thermal variational quantum simulation on a superconducting quantum processor
Xue-Yi Guo, Shang-Shu Li, Xiao Xiao +10
Solving finite-temperature properties of quantum many-body systems is generally challenging to classical computers due to their high computational complexities. In this article, we…
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…
Spectral estimation of the percolation transition in clustered networks
Pan Zhang
There have been several spectral bounds for the percolation transition in networks, using spectrum of matrices associated with the network such as the adjacency matrix and the non-…
Unsupervised Generative Modeling Using Matrix Product States
Zhao-Yu Han, Jun Wang, Heng Fan +2
Generative modeling, which learns joint probability distribution from data and generates samples according to it, is an important task in machine learning and artificial intelligen…
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Pan Zhang
Spectral methods are popular in detecting global structures in the given data that can be represented as a matrix. However when the data matrix is sparse or noisy, classic spectral…
Fast and simple decycling and dismantling of networks
Lenka Zdeborová, Pan Zhang, Hai-Jun Zhou
Decycling and dismantling of complex networks are underlying many important applications in network science. Recently these two closely related problems were tackled by several heu…
Evaluating accuracy of community detection using the relative normalized mutual information
Pan Zhang
The Normalized Mutual Information (NMI) has been widely used to evaluate the accuracy of community detection algorithms. However in this article we show that the NMI is seriously a…