This site is a resource for tensor network algorithms, theory, and software.

Tensor networks are a technique for factorizing a many-index tensor into a contracted network of few-index tensors, and are becoming increasingly useful for applied mathematics, chemistry, physics, machine learning, and likely many other fields.

Fundamentals:

Types of Tensor Networks:

- Matrix Product State / Tensor Train Network
- Tree Tensor Network / Hierarchical Tucker (coming soon)
- PEPS
- MERA (coming soon)

Tensor Network Algorithms:

Computing with Tensor Networks:

- Tensor Software (coming soon)
- Tensor Benchmarks (coming soon)

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