Quantum machine learning beyond kernel methods

Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of quantum machine learning models have been introduced and studied extensively. Yet, our understanding of how these models...

Descripción completa

Detalles Bibliográficos
Autores principales: Jerbi, Sofiene, Fiderer, Lukas J., Poulsen Nautrup, Hendrik, Kübler, Jonas M., Briegel, Hans J., Dunjko, Vedran
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/PMC9889392/
https://www.ncbi.nlm.nih.gov/pubmed/36720861
http://dx.doi.org/10.1038/s41467-023-36159-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889392/
https://www.ncbi.nlm.nih.gov/pubmed/36720861
http://dx.doi.org/10.1038/s41467-023-36159-y

Ejemplares similares