Surface-code syndrome data alone can be used to learn improved detector error models, and these learned models consistently reduce logical error rates compared with calibration-based models.
arxiv.org/abs/2606.11496
Decoders for quantum error correction (QEC) experiments rely on detector error models (DEMs), which encode, for each error, its probability and the detectors and logical observables it flips. Here we ...
