Structural risk minimization for quantum linear classifiers

Quantum Computing Summaries

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https://quantum-journal.org/papers/q-2023-01-13-893/

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The paper summarized here studies how to balance between training accuracy and generalization performance (also called structural risk minimization) for two prominent QML models using relationships to classical models.