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Tenet.jl

★ 39 Open GitHub ↗

The Hackable Quantum Tensor Network library

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# Tenǝʇ.jl

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[![Aqua QA](https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg)](https://github.com/JuliaTesting/Aqua.jl)
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[![Documentation: stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://bsc-quantic.github.io/Tenet.jl/)
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[![DOI](https://zenodo.org/badge/569902394.svg)](https://doi.org/10.5281/zenodo.14757117)

A Julia library for **Ten**sor **Net**works. `Tenet` can be executed both at local environments and on large supercomputers. Its goals are,

- **Expressiveness** _Simple to use._ 👶
- **Flexibility** _Extend it to your needs._ 🔧
- **Performance** _Goes brr... fast._ 🏎️

## Features

- Optimized Tensor Network contraction order, powered by [EinExprs.jl](https://github.com/bsc-quantic/EinExprs.jl)
- Tensor Network slicing/cuttings
- Automatic Differentiation of TN contraction
- Distributed contraction
- Local Tensor Network transformations/simplifications
- 2D & 3D visualization of large networks, powered by [Makie.jl](https://github.com/MakieOrg/Makie.jl)
- Quantum Tensor Networks: Product, MPS, MPO, ...
- Conversion from/to [ITensors.jl](https://github.com/ITensor/ITensors.jl), [ITensorNetworks.jl](https://github.com/ITensor/ITensorNetworks.jl), [Qiskit](https://github.com/Qiskit/qiskit), [Qibo](https://github.com/qiboteam/qibo) and [quimb](https://github.com/jcmgray/quimb)
  - YES! It works with Python thanks to [PythonCall.jl](https://github.com/JuliaPy/PythonCall.jl)

## Preview

A video of its presentation at JuliaCon 2023 can be seen here:

[![Watch the video](https://img.youtube.com/vi/8BHGtm6FRMk/maxresdefault.jpg)](https://youtu.be/8BHGtm6FRMk)

Tenet.jl

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