There are 13 repositories under tensor-networks topic.
A library for easy and efficient manipulation of tensor networks.
A Julia library for efficient tensor computations and tensor network calculations. ITensor is supported by the Simons Foundation's Flatiron Institute.
A python library for quantum information and many-body calculations including tensor networks.
Tensor Network Learning with PyTorch
Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775
Differentiable Programming Tensor Networks
Generic tensor networks for solution space properties.
Solving two-dimensional spin models with tensor networks (powered by PyTorch)
Tensor network simulations for finite temperature, open quantum system dynamics
Jet is a cross-platform library for simulating quantum circuits using tensor network contractions.
Quantum dynamics package based on tensor network states
Smooth integration of tensor networks in machine learning
Tensor networks for quantum error correction.
Time evolution algorithms for matrix-product states based on ITensors.jl
The Hackable Tensor Network library
Tensor network contraction order optimizers for OMEinsum
Julia library for quantum circuit simulation using tensor networks
Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
Mathematica codes for computations related to the R-matrix parastatistics, defined in Nature 637, 314-318 (2025).
[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis
Rust accelerated contraction ordering primitives for tensor networks and einsums
A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.
DynamicalCorrelators.jl is a frontend for calculating dynamical correlation functions and related observables based on time evolution matrix-product states methods.
A Julia package for Matrix-Product State (MPS)-based time-series analysis.