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An efficient geometric approach to quantum-inspired classifications

Optimal measurements for the discrimination of quantum states are useful tools for classification problems. In order to exploit the potential of quantum computers, feature vectors have to be encoded into quantum states represented by density operators. However, quantum-inspired classifiers based on...

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Detalles Bibliográficos
Autores principales: Leporini, Roberto, Pastorello, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130267/
https://www.ncbi.nlm.nih.gov/pubmed/35610272
http://dx.doi.org/10.1038/s41598-022-12392-1