A library for easy and efficient manipulation of tensor networks.
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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
continuous-time matrix product operator for finite temperature quantum states
Tensor Netwok Algorithms for EVERYONE
Discrete optimization in the tensor-network (specifically, MPS-MPO) language.
Smooth integration of tensor networks in machine learning
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Python Distributed Non Negative Tensor Networks
Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
Tensor-network based package for efficient quantum metrology computations.
EntropiQ - design and run large-scale simulations of quantum systems using Tensor Networks
einsum via batch matrix multiply
Tensor Network State Packages
Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)
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