Quantum Machine Learning: Quantum Kernel Methods

arXiv:2405.01780v1 Announce Type: cross
Abstract: Quantum algorithms based on quantum kernel methods have been investigated previously [1]. A quantum advantage is derived from the fact that it is possible to construct a family of datasets for which, only quantum processing can recognise the intrinsic labelling patterns, while for classical computers the dataset looks like noise. This is due to the algorithm leveraging inherent efficiencies in the computation of logarithms in a cyclic group. The discrete log problem.is a well-known advantage …

abstract algorithms arxiv computers construct cs.lg dataset datasets family intrinsic kernel labelling machine machine learning patterns processing quant-ph quantum quantum advantage type while