A Julia library for efficient tensor computations and tensor network calculations
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Updated
Feb 17, 2023 - Julia
A Julia library for efficient tensor computations and tensor network calculations
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
Package for Simulation, Tomography and Analysis of Quantum Computers
Differentiable Programming Tensor Networks
Hyper optimized contraction trees for large tensor networks and einsums - https://cotengra.readthedocs.io
Tensor-Based Quantum Machine Learning
Solving two-dimensional spin models with tensor networks (powered by PyTorch)
Generic tensor networks for solution space properties.
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
Jet is a cross-platform library for simulating quantum circuits using tensor network contractions.
Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering
continuous-time matrix product operator for finite temperature quantum states
Tensor Netwok Algorithms for EVERYONE
Time evolution algorithms for matrix-product states based on ITensors.jl
Tensor network contraction order optimizers for OMEinsum
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Julia library for quantum circuit simulation using tensor networks
An implementation of the Three-Legged Tree Tensor Network algorithm
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