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
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
Tensor-Based Quantum Machine Learning
Differentiable Programming Tensor Networks
Tensor Netwok Algorithms for EVERYONE
Solving two-dimensional spin models with tensor networks (powered by PyTorch)
continuous-time matrix product operator for finite temperature quantum states
Python Distributed Non Negative Tensor Networks
EntropiQ - design and run large-scale simulations of quantum systems using Tensor Networks
Discrete optimization in the tensor-network (specifically, MPS-MPO) language.
python code to perform Multiconfigurational Time-Dependent Hartree calculations
Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
Code repository for arXiv:2202.12319
Quantum Annealing simulation via Tensor Networks. QIC, University of Padua.
Tensor Network State Packages
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
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