Variational quantum classifiers through the lens of the Hessian

In quantum computing, the variational quantum algorithms (VQAs) are well suited for finding optimal combinations of things in specific applications ranging from chemistry all the way to finance. The training of VQAs with gradient descent optimization algorithm has shown a good convergence. At an ear...

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Detalles Bibliográficos
Autores principales: Sen, Pinaki, Bhatia, Amandeep Singh, Bhangu, Kamalpreet Singh, Elbeltagi, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775295/
https://www.ncbi.nlm.nih.gov/pubmed/35051206
http://dx.doi.org/10.1371/journal.pone.0262346

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775295/
https://www.ncbi.nlm.nih.gov/pubmed/35051206
http://dx.doi.org/10.1371/journal.pone.0262346

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