F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits.

Generative modelling is an important unsupervised task in machine learning. In this work, we study a hybrid quantum-classical approach to this task, based on the use of a quantum circuit born machine. In particular, we consider training a quantum circuit born machine using -divergences.