Project overview & references

Motivation

mdopt expresses discrete optimisation tasks in the tensor-network (MPS/MPO) formalism. This enables controlled approximations (e.g., bond-dimension truncation) and leverages well-studied contraction/optimisation techniques for problems such as decoding quantum error-correcting codes.

Intended users

• Physicists and quantum-information researchers

• Practitioners exploring tensor-network methods for discrete optimisation

References & related resources

• Project repository: quicophy/mdopt

• Documentation: https://mdopt.readthedocs.io/en/latest/

• Citation details: please see the README