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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 f-divergences. We first di...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534817/ https://www.ncbi.nlm.nih.gov/pubmed/34682005 http://dx.doi.org/10.3390/e23101281 |