Author

Kaitlin Gili

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#machine learning Preprint Jul 2026

From hyperplanes to hyperellipsoids: a pedagogical bridge from linear classifiers to single-qubit mixed-state classifiers

A pedagogical bridge is developed between linear classifiers and single-qubit mixed-state classifiers by characterizing their geometric model structure, which reveals that a single-qubit mixed-state model for binary classification can be viewed as the ``ellipsoidal version'' of a standard linear classifier.

Kaitlin Gili · 0 citations

Review Jul 2026

Inherent interpretability provides inherent value in quantum machine learning

It is argued that quantum ML model value can be found through the characterization of its inherent interpretability offerings -- i.e. its mathematical structure that contributes meaningfully to desired model behavior for the specific ML task.

Kaitlin Gili, Zachary P. Bradshaw · 2 citations