Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets

One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical Machine Learning. In this paper, we apply Quantum Machine Learning (QML) frameworks to improve bina...

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Detalles Bibliográficos
Autores principales: Schetakis, N., Aghamalyan, D., Griffin, P., Boguslavsky, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279282/
https://www.ncbi.nlm.nih.gov/pubmed/35831369
http://dx.doi.org/10.1038/s41598-022-14876-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279282/
https://www.ncbi.nlm.nih.gov/pubmed/35831369
http://dx.doi.org/10.1038/s41598-022-14876-6

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