A library for easy and efficient manipulation of tensor networks.
-
Updated
Sep 4, 2023 - Python
A library for easy and efficient manipulation of tensor networks.
A python library for quantum information and many-body calculations including tensor networks.
Tensor Network Learning with PyTorch
Hyper optimized contraction trees for large tensor networks and einsums
Differentiable Programming Tensor Networks
Tensor-Based Quantum Machine Learning
Solving two-dimensional spin models with tensor networks (powered by PyTorch)
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
Quantum dynamics package based on tensor network states
Smooth integration of tensor networks in machine learning
A code-agnostic tensor-network (MPS-MPO) decoder for quantum error-correcting codes.
continuous-time matrix product operator for finite temperature quantum states
Tensor Netwok Algorithms for EVERYONE
TNCO is a heuristic tool that optimizes tensor network contraction paths.
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Tensor Networks for Machine Learning
Tensor Network State Packages
einsum via batch matrix multiply
Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
Python Distributed Non Negative Tensor Networks
Add a description, image, and links to the tensor-networks topic page so that developers can more easily learn about it.
To associate your repository with the tensor-networks topic, visit your repo's landing page and select "manage topics."