Expressibility and trainability of parametrized analog quantum systems for machine learning applications
Parametrized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random parametrized quantum circuits are able to express complex distributions intractable by a classical computer, leading to t...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Physical Society
2020-12-01
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| coleção: | Physical Review Research |
| Acesso em linha: | http://doi.org/10.1103/PhysRevResearch.2.043364 |
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