notayan1505/retrainable-neural-decoder

qdrift is a repetition-code neural-decoder experiment: its CLI coordinates loading or generating hardware data, training/comparing decoders, and writing evaluation results. The main data path converts Stein bitstrings into detector tensors and labels; evaluation compares matching and lookup baselines with trained neural models on held-out data. The README also documents fresh fake- or real-IBM runs for drift testing. Connections below follow shown CLI references, source-index references, and explicit README statements; unsampled implementation details are not inferred.