Introduces a class-margin metric connecting data-encoding randomness to quantum classification accuracy, and argues that near-random encodings fundamentally limit performance.
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The role of data-induced randomness in quantum machine learning classification tasks
Introduces a class-margin metric connecting data-encoding randomness to quantum classification accuracy, and argues that near-random encodings fundamentally limit performance.