Quantum-Inspired Applications for Classification Problems

In the context of quantum-inspired machine learning, quantum state discrimination is a useful tool for classification problems. We implement a local approach combining the k-nearest neighbors algorithm with some quantum-inspired classifiers. We compare the performance with respect to well-known clas...

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Detalles Bibliográficos
Autores principales: Bertini, Cesarino, Leporini, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047587/
https://www.ncbi.nlm.nih.gov/pubmed/36981293
http://dx.doi.org/10.3390/e25030404
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author Bertini, Cesarino
Leporini, Roberto
author_facet Bertini, Cesarino
Leporini, Roberto
author_sort Bertini, Cesarino
collection PubMed
description In the context of quantum-inspired machine learning, quantum state discrimination is a useful tool for classification problems. We implement a local approach combining the k-nearest neighbors algorithm with some quantum-inspired classifiers. We compare the performance with respect to well-known classifiers applied to benchmark datasets.
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spelling pubmed-100475872023-03-29 Quantum-Inspired Applications for Classification Problems Bertini, Cesarino Leporini, Roberto Entropy (Basel) Article In the context of quantum-inspired machine learning, quantum state discrimination is a useful tool for classification problems. We implement a local approach combining the k-nearest neighbors algorithm with some quantum-inspired classifiers. We compare the performance with respect to well-known classifiers applied to benchmark datasets. MDPI 2023-02-23 /pmc/articles/PMC10047587/ /pubmed/36981293 http://dx.doi.org/10.3390/e25030404 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bertini, Cesarino
Leporini, Roberto
Quantum-Inspired Applications for Classification Problems
title Quantum-Inspired Applications for Classification Problems
title_full Quantum-Inspired Applications for Classification Problems
title_fullStr Quantum-Inspired Applications for Classification Problems
title_full_unstemmed Quantum-Inspired Applications for Classification Problems
title_short Quantum-Inspired Applications for Classification Problems
title_sort quantum-inspired applications for classification problems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047587/
https://www.ncbi.nlm.nih.gov/pubmed/36981293
http://dx.doi.org/10.3390/e25030404
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