Training and decoder selection

A confidence bound $d_{\diamond }(\mathcal{N},\hat{\mathcal{N}})\le \eta$ gives, for every CPTP decoder on that event,

The simplest approach designs the decoder on training data and certifies its actual implementation on independent validation data. Selection using the same data requires a uniform confidence argument, not reuse of ordinary fixed-decoder intervals.