详情

原文传递 Q-Means: Quantum Advantage for Clustering and Classification.

题名：	Q-Means: Quantum Advantage for Clustering and Classification.
作者：	Putz, V.
摘要：	This project developed a quantum algorithm for clustering, similar to k-means, but that performs the distance estimationaspect of the clustering algorithm in a much more efficient manner, thus promising a potential speedup once quantumcomputing hardware matures to the point of being able to implement this quantum algorithm. This milestone reportbenchmarked performance of the quantum circuit used in the Q-Means clustering algorithm on classical simulators andcurrent quantum hardware.
总页数：	49 pages