Kernel-based dequantization of variational QML without Random Fourier Features

Ryan Sweke, Seongwook Shin, Elies Gil-Fuster

There is currently a huge effort to understand the potential and limitations of variational quantum machine learning (QML) based on the optimization of parameterized quantum circui…