A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

A python library for quantum information and many-body calculations including tensor networks.

Tensor network based quantum software framework for the NISQ era

Hyper optimized contraction trees for large tensor networks and einsums

Tensor Train Toolbox

A pedagogical realization of MPS method.

Next-gen AI-native tensor-network-based quantum software framework

Quantum computational chemistry based on TensorCircuit

Implementation of the GILT + HOTRG and calculating scaling dimensions through the linearized RG equation of the GILT + HOTRG.

Tensor Networks for Machine Learning

Tensor Network State Packages

Tensor-network based package for efficient quantum metrology computations.

Library for GPU-accelerated simulation of infinite projected entangled-pair states (iPEPS)

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

Quantum computational chemistry based on TensorCircuit

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

A lightweight, Density matrix renormalization group (DMRG) implementation under 1000 lines, featuring named tensor legs for clarity and abstraction of network operations.

Interactive local editor for building tensor networks visually and generating readable Python code for tensornetwork, quimb, tensorkrowch, and einsum. Explained in https://arxiv.org/abs/2606.08760

Differentiable tensor renormalization group