Representation Geometry and Inductive Biases in Quantum Classifiers across Classical Visual Benchmarks

Quantum Machine Learning (QML) has a theoretical advantage over classical algorithms for specific synthetic data that is computationally hard. However, it remains unclear whether such theoretical advantages play a meaningful role for realistic classical data, such as natural images. Quantum structur