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
continuous-time matrix product operator for finite temperature quantum states
Tensor Netwok Algorithms for EVERYONE
Discrete optimisation in the tensor-network (specifically, MPS-MPO) language.
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Tensor Network State Packages
Tensor Networks for Machine Learning
Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
Python Distributed Non Negative Tensor Networks
einsum via batch matrix multiply
Tensor-network based package for efficient quantum metrology computations.
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."