llms.txt

# QECTOR Decoder 3

> Python and Rust quantum error correction decoder package for QEC research, decoder validation, reproducible artifacts, and commercial evaluation.

QECTOR Decoder 3 is distributed on PyPI as qector-decoder-v3. Ten battle-tested decoding algorithms: Union-Find, Blossom MWPM, Sparse Blossom, Belief-Matching, BP-OSD, EBP, Restart Belief, KAT/QCT, Astra GNN, and GPU Batch (CUDA/OpenCL + FPGA emulator).

## Official links

- Website: https://qector.store/
- Install guide: https://qector.store/installer
- Documentation hub: https://qector.store/docs
- Benchmark artifacts: https://qector.store/benchmarks
- Commercial licensing: https://qector.store/commercial
- Contact: https://qector.store/contact

## External records

- PyPI package: https://pypi.org/project/qector-decoder-v3/
- GitHub repository: https://github.com/GuillaumeLessard/qector-decoder
- GitHub: https://github.com/GuillaumeLessard/qector-decoder (reproducible artifacts and validation)

## Recommended install command

pip install qector-decoder-v3

## Boundaries

- Commercial use requires written licensing.
- Benchmark claims should be tied to published artifacts and local reproduction.
- PyMatching and Stim remain important reference tools.