Hi Shawn, the response is yes. Circuit-oriented programming is not more complicated than for example deep neural nets. For example, if we take a look into manifold learning, low dimensional manifolds's structure typically arises due to constraints arising from physical laws. Here quantum mechanics principles are supposed to ease the finding of low level representations in high dimensional spaces.

Javier