Parity Supervision as a Driver of Generalization in Quantum Generative Modeling

Markus Baumann, Daniel Hein, Steffen Udluft +3

Generative models learn probability distributions in order to produce new samples beyond a finite training set. Their usefulness therefore depends on assigning probability to valid…