Variational quantum approximate support vector machine with inference transfer

A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data. We propose a Variational Quantum Approximate Support Vector Machine (VQASVM) algorithm that demonstrates empirical sub-quadratic run-time co...

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Detalles Bibliográficos
Autores principales: Park, Siheon, Park, Daniel K., Rhee, June-Koo Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968349/
https://www.ncbi.nlm.nih.gov/pubmed/36841841
http://dx.doi.org/10.1038/s41598-023-29495-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968349/
https://www.ncbi.nlm.nih.gov/pubmed/36841841
http://dx.doi.org/10.1038/s41598-023-29495-y

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