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Quantum variational algorithms are swamped with traps

One of the most important properties of classical neural networks is how surprisingly trainable they are, though their training algorithms typically rely on optimizing complicated, nonconvex loss functions. Previous results have shown that unlike the case in classical neural networks, variational qu...

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Detalles Bibliográficos
Autores principales: Anschuetz, Eric R., Kiani, Bobak T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755303/
https://www.ncbi.nlm.nih.gov/pubmed/36522354
http://dx.doi.org/10.1038/s41467-022-35364-5

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