Encoding-dependent generalization bounds for parametrized quantum circuits
A large body of recent work has begun to explore the potential of parametrized quantum circuits (PQCs) as machine learning models, within the framework of hybrid quantum-classical optimization. In particular, theoretical guarantees on the out-of-sample performance of such models, in terms of general...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2021
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| Accès en ligne: | https://doaj.org/article/fb1662ccb5434e1ba0fb7ee8d65d5868 |
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