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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |