Quantum K-Nearest Neighbors: Utilizing QRAM and SWAP-Test Techniques for Enhanced Performance

This work introduces a quantum K-Nearest Neighbor (K-NN) classifier algorithm. The algorithm utilizes angle encoding through a Quantum Random Access Memory (QRAM) using n number of qubit addresses with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Alberto Maldonado-Romo, J. Yaljá Montiel-Pérez, Victor Onofre, Javier Maldonado-Romo , Juan Humberto Sossa-Azuela
Format:	Article
Language:	English
Published:	MDPI AG 2024-06-01
Subjects:	QRAM quantum machine learning quantum classification quantum K-Nearest Neighbor
Online Access:	https://www.mdpi.com/2227-7390/12/12/1872