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Acknowledgements

Funding And Institutional Details

Anthony Leverrier acknowledges the Plan France 2030 through the project ANR-22-PETQ-0006.

Rüdiger Urbanke gratefully acknowledges the hospitality of the COSMIQ group at Inria, where this work was carried out during his sabbatical.

Large Language Models

We acknowledge the use of large language models, in particular OpenAI Codex, to assist with the programming, documentation, and testing of the frontier decoder implementation.

Upstream Software

This software depends on upstream open-source scientific Python and quantum error-correction packages, including NumPy, SciPy, Stim, ldpc, and Matplotlib. Those projects remain under their own licenses.

See docs/LICENSING.md and NOTICE for repository licensing scope and bundled-asset provenance notes.