All projects Data infrastructure for quantum error correction
QEC Lake
QEC Lake brings experimental, simulated, and synthetic quantum error-correction data into a shared data lake. Researchers can discover datasets through metadata search and an AI-assisted interface, then export model-ready inputs for decoder training and evaluation.
Its preparation pipeline supports different model families without requiring a separate conversion script for every dataset and model. QEC Lake supplies the data foundation for the QEC Model Zoo and reproducible comparisons across decoders.