Quantum kernel methods and Variational Quantum Classifiers (VQCs) have recently gained significant interest in the field of Machine Learning (ML). They have the potential to achieve superior generalisation whilst using smaller datasets and fewer parameters compared to their classical counterparts. However. kernel methods which leverage feature map embedding. https://www.jmannino.com/mega-pick-Royal-Nomadic-5413-Rug-Ivory-Black-limited-super/