2 research outputs found
A review of k-NN algorithm based on classical and Quantum Machine Learning
[EN] Artificial intelligence algorithms, developed for traditional
computing, based on Von Neumann’s architecture, are slow and expen-
sive in terms of computational resources. Quantum mechanics has opened
up a new world of possibilities within this field, since, thanks to the basic
properties of a quantum computer, a great degree of parallelism can be
achieved in the execution of the quantum version of machine learning
algorithms. In this paper, a study has been carried out on these proper-
ties and on the design of their quantum computing versions. More specif-
ically, the study has been focused on the quantum version of the k-NN
algorithm that allows to understand the fundamentals when transcribing
classical machine learning algorithms into its quantum versions