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F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Chiara Leadbeater, Louis Sharrock, Brian Coyle +1
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 c…
Filtering variational quantum algorithms for combinatorial optimization
David Amaro, Carlo Modica, Matthias Rosenkranz +3
Current gate-based quantum computers have the potential to provide a computational advantage if algorithms use quantum hardware efficiently. To make combinatorial optimization more…
Variational inference with a quantum computer
Marcello Benedetti, Brian Coyle, Mattia Fiorentini +2
Inference is the task of drawing conclusions about unobserved variables given observations of related variables. Applications range from identifying diseases from symptoms to class…