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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| 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 |