Quantum version of the k-NN classifier based on a quantum sorting algorithm
L. F. Quezada,
Guo-Hua Sun,
Shi-Hai Dong
Abstract:In this work we introduce a quantum sorting algorithm with adaptable requirements of memory and circuit depth, and then use it to develop a new quantum version of the classical machine learning algorithm known as k-nearest neighbors (k-NN). Both the efficiency and performance of this new quantum version of the k-NN algorithm are compared to those of the classical k-NN and another quantum version proposed by Schuld et al. [20]. Results show that the efficiency of both quantum algorithms is similar to each othe… Show more
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