Genetic algorithm optimization of QSVM kernel circuits produces encodings that match or exceed standard classical and quantum kernels on binary and multi-class datasets, with a reported positive correlation to kernel entropy.
This is done by selecting a crossover point on the chromo- some and swapping the genes to the right of the crossover point between the two parents
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Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms
Genetic algorithm optimization of QSVM kernel circuits produces encodings that match or exceed standard classical and quantum kernels on binary and multi-class datasets, with a reported positive correlation to kernel entropy.