Approximation and Generalization Capacities of Parametrized Quantum Circuits for Functions in Sobolev Spaces
Parametrized quantum circuits (PQC) are quantum circuits which consist of both fixed and parametrized gates. In recent approaches to quantum machine learning (QML), PQCs are essentially ubiquitous and play the role analogous to classical neural networks. They are used to learn various types of data,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2025-03-01
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| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2025-03-10-1658/pdf/ |
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