F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Chiara Leadbeater,
Louis Sharrock,
Brian Coyle
et al.
Abstract: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 f -divergences. We first discuss the adversarial framework for generative modelling, which enables the estimation of any f -divergence in the near term. Based on this capability, we introduce two heuristics which demonstrably improve the tra… Show more
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