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.
Pearson, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science2, 559 (1901)
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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.