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

Tensor networks are factorizations of very large tensors into networks of smaller tensors, with applications in applied mathematics, chemistry, physics, machine learning, and many other fields.

Fundamentals:

Types of Tensor Networks:

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

Tensor Network Algorithms:

Computing with Tensor Networks:

- Tensor Software (coming soon)
- Tensor Benchmarks

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