Preprint Highlights Errors in Quantum Machine Learning Proof

A new arXiv preprint identifies several errors within the proof of a theorem concerning supervised quantum machine learning models. While the theorem itself remains valid, these identified inaccuracies are critical for researchers attempting to explicitly compute the Fourier coefficients of a quantum kernel. The paper also notes an unrelated error in a worked example.