366 citations · 3k across the 39 of their papers we have counts for
40 papers
Reduced Contraction Costs of Corner-Transfer Methods for PEPS
Wangwei Lan, Glen Evenbly
We propose a pair of approximations that allows the leading order computational cost of contracting an infinite projected entangled-pair state (iPEPS) to be reduced from $\mathcal{…
Improved Wavelets for Image Compression from Unitary Circuits
James C. McCord, Glen Evenbly
We benchmark the efficacy of several novel orthogonal, symmetric, dilation-3 wavelets, derived from a unitary circuit based construction, towards image compression. The performance…
A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions and Gauge Freedom
Glen Evenbly
We present an overview of the key ideas and skills necessary to begin implementing tensor network methods numerically, which is intended to facilitate the practical application of…
TensorTrace: an application to contract tensor networks
Glen Evenbly
Tensor network methods are a conceptually elegant framework for encoding complicated datasets, where high-order tensors are approximated as networks of low-order tensors. In practi…
Tensor Renormalization Group Centered About a Core Tensor
Wangwei Lan, Glen Evenbly
We propose a modified form of a tensor renormalization group algorithm for evaluating partition functions of classical statistical mechanical models on 2D lattices. This algorithm…
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning
Glen Evenbly
We propose a restricted class of tensor network state, built from number-state preserving tensors, for supervised learning tasks. This class of tensor network is argued to be a nat…