Structural risk minimization for quantum linear classifiers
Quantum machine learning (QML) models based on parameterized quantum circuits are often highlighted as candidates for quantum computing's near-term “killer application''. However, the understanding of the empirical and generalization performance of these models is still in its infancy...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2023-01-01
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| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2023-01-13-893/pdf/ |