A single-qubit mixed-state binary classifier is a centered hyperellipsoid classifier — equivalent to a linear model on squared features with normalized, non-negative weights.
Different Scaling of Linear Models and Deep Learning in UK Biobank Brain Images versus Machine-Learning Datasets
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From hyperplanes to hyperellipsoids: characterizing the inherent interpretability of linear and single-qubit mixed-state binary classification models
A single-qubit mixed-state binary classifier is a centered hyperellipsoid classifier — equivalent to a linear model on squared features with normalized, non-negative weights.