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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...
Autores principales: | Leporini, Roberto, Pastorello, Davide |
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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/PMC9130267/ https://www.ncbi.nlm.nih.gov/pubmed/35610272 http://dx.doi.org/10.1038/s41598-022-12392-1 |
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