Tenet.jlThe Hackable Tensor Network Library

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Hackable, Flexible, Extendable!

Tenet proposes a new interface for Tensor Networks which is both easy to use and to extend.

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Accelerate your code with Reactant.jl

Its deep integration with Reactant.jl and carefully developed code, makes it go fast!

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Built-In MLIR AD

Leverage Enzyme-Powered Automatic Differentiation to Differentiate Tensor Network contraction when used in combination with Reactant.jl.

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Compatible with friends

We believe in collaboration and interoperation. As such, Tenet.jl integrates with many libraries... Even with Python!

Tenet.jl is a Tensor Network library written in Julia and designed to be performant, hackable and intuitive.

BSC-Quantic's Registry

Tenet and some of its dependencies are located in our own Julia registry. In order to download Tenet, add our registry to your Julia installation by using the Pkg mode in a REPL session,

julia

using Pkg
pkg"registry add https://github.com/bsc-quantic/Registry"

Features

Optimized Tensor Network contraction, powered by EinExprs
Tensor Network slicing/cuttings
Automatic Differentiation of TN contraction, powered by EinExprs and ChainRules
3D visualization of large networks, powered by Makie

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