A library for easy and efficient manipulation of tensor networks.

A Julia library for efficient tensor computations and tensor network calculations

Tensor network based quantum software framework for the NISQ era

Tensor Train decomposition on TensorFlow

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as implemented in ITensor. Most of the computations can be performed both with DMRG and exact diagonalization for small systems, which allows one to benchmark the results.

Efficient parallel quantum chemistry DMRG in MPO formalism

Tensor network simulations for finite temperature, open quantum system dynamics

Quantum dynamics package based on tensor network states

LuaTeX extension for graphical tensor notation

Time evolution algorithms for matrix-product states based on ITensors.jl

Discrete optimisation in the tensor-network (specifically, MPS-MPO) language.

DMRG using Matrix Product States in Julia

large-scale parallel DMRG/TDVP library

Variational Quantum Eigensolver with Fewer Qubits

A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.

This repo contains an implementation of the Simple-Update Tensor Network algorithm as described in the paper - A universal tensor network algorithm for any infinite lattice by Saeed S. Jahromi and Roman Orus.

A Tensor Network package for Machine Learning and Quantum Computing in Python.

Entanglement characterization of variational quantum circuits using a Matrix Product State simulator and qiskit.

A Python package for numerical quantum mechanics of chain-like systems based on tensor trains