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Machine Learning

The Feature Explosion

The two-qubit quantum kernel in the companion notebook does not beat its classical radial basis function baseline on the half-moons data. That result is useful: a feature space does not become valuable merely by being quantum.

The Netflix Prize remains a good parable. Recommendation quality depended on finding representations that exposed useful structure in sparse, noisy data, then comparing them against strong baselines.