We illustrate and compare alternatives for the quantum nearest neighbour classifier focus- ing on data preparation and performance. We discuss the differences in the classification process depending on data encoding, storage, and distance functions. The results show that the quantum nearest neighbour approach compares well with the classic version.
Effects of Different Encodings and Distance Functions on Quantum Instance-based Classifiers
Alessandro Berti;Anna Bernasconi;Gianna M. Del Corso;Riccardo Guidotti
2021-01-01
Abstract
We illustrate and compare alternatives for the quantum nearest neighbour classifier focus- ing on data preparation and performance. We discuss the differences in the classification process depending on data encoding, storage, and distance functions. The results show that the quantum nearest neighbour approach compares well with the classic version.File in questo prodotto:
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