Quantum Computing Summaries

Structural risk minimization for quantum linear classifiers


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You can read the paper here:

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

Or if you want to read a summary, try my wordpress or medium!

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.


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Quantum Computing SummariesBy Mark McGuire