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Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices., , and . CoRR, (2017)Parameterized quantum circuits as machine learning models., , and . CoRR, (2019)Variational inference with a quantum computer., , , , and . CoRR, (2021)Quantum-classical generative models for machine learning.. University College London, UK, (2019)British Library, EThOS.Structure optimization for parameterized quantum circuits., , and . Quantum, (2021)Tracing the Paths between Concepts in Large Bio-Medical Corpora., , , , , and . CSCS, page 357-364. IEEE, (2015)Bayesian learning of parameterised quantum circuits., , and . Mach. Learn. Sci. Technol., 4 (2): 25007 (June 2023)Quantum-assisted learning of graphical models with arbitrary pairwise connectivity., , , and . CoRR, (2016)Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers., , , and . CoRR, (2017)F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits., , , and . Entropy, 23 (10): 1281 (2021)