Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets

The discovery of quantum algorithms offering provable advantages over the best known classical alternatives, together with the parallel ongoing revolution brought about by classical artificial intelligence, motivates a search for applications of quantum information processing methods to machine lear...

Descripción completa

Detalles Bibliográficos
Autores principales: John, Manuel, Schuhmacher, Julian, Barkoutsos, Panagiotis, Tavernelli, Ivano, Tacchino, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297005/
https://www.ncbi.nlm.nih.gov/pubmed/37372204
http://dx.doi.org/10.3390/e25060860

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297005/
https://www.ncbi.nlm.nih.gov/pubmed/37372204
http://dx.doi.org/10.3390/e25060860

Ejemplares similares