Important
The code for quantum tensor networks has been moved to the new Qrochet library.
A Julia library for Tensor Networks. 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. 🏎️
- Optimized Tensor Network contraction order, powered by
EinExprs - Tensor Network slicing/cuttings
- Automatic Differentiation of TN contraction
- Distributed contraction
- Local Tensor Network transformations
- Hyperindex converter
- Rank simplification
- Diagonal reduction
- Anti-diagonal gauging
- Column reduction
- Split simplification
- 2D & 3D visualization of large networks, powered by
Makie
A video of its presentation at JuliaCon 2023 can be seen here:
