Following the classical backpropagation rule, the strength of the interactions are learned from a training set of desired input-output relations, and the quantum network thus ‘learns’ an algorithm.
Poštujući klasično pravilo "backpropagation", moć tih interakcija se shvata iz trenirajućeg seta željenih input-output relacija i tako kvantna mreža "uči" algoritam.