Tensor Network State Packages
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Updated
Nov 19, 2024 - Python
Tensor Network State Packages
Convolutions and more as einsum for PyTorch
variPEPS -- Versatile tensor network library for variational ground state simulations in two spatial dimensions
A collection of state-of-the-art contraction ordering algorithms. https://arxiv.org/abs/2209.12332
Sample python code of nuclear norm regularized (NNR) loop optimization for tensor network renormalization (TNR) in arXiv:2306.17479.
All the material needed to implement aTree Tensor Network (TTN) supervised classifier for HIGGS dataset in the context of High Energy Physics (HEP)
Sparse tensor network extension of OMEinsum.
Tensor Network algorithms implemented in python.
Implementations of tensor networks algorithms in python.
Interactive local editor for building tensor networks visually and generating readable Python code for tensornetwork, quimb, tensorkrowch, and einsum.
2D and 3D tensor network visualization, designed for torch, numpy, quimb, tensorkrowch, tenpy and tensornetwork compatibility
Many-body localization
mps_xtrap is a production-ready Python quantum circuit simulator (v2.2.1) built on Matrix Product States (MPS). It uses multilevel Richardson extrapolation to approach infinite bond-dimension accuracy, with GPU acceleration via CuPy, gate fusion to cut SVD overhead, and Born-rule qubit measurement.
MobileNet + ImageNet predictions in nodejs without node-canvas
Library for block-sparse symmetric tensors
Master thesis in Physics
Simulating Quantum Circuits with tensornetwork
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