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What is Quantum Clustering

Technology Road Mapping for Quantum Computing and Engineering
Quantum Clustering refers to a class of algorithms that use concepts and mathematical tools from quantum mechanics to cluster data. Clusters are defined by higher densities of data points, and QC belongs to the family of density-based clustering algorithms.
Published in Chapter:
A Taxonomy of Quantum Computing Algorithms: Advancements and Anticipations
Lopamudra Hota (National Institute of Technology, Rourkela, India) and Prasant Kumar Dash (C. V. Raman Global University, India)
Copyright: © 2022 |Pages: 21
DOI: 10.4018/978-1-7998-9183-3.ch004
Abstract
Quantum computing exploits quantum-mechanical principles such as entanglement and superposition to offer significant computational advantages over conventional classical computing. Many complex and computationally challenging problems are expected to be solved by quantum computing in a number of fields, such as data science, industrial chemistry, smart energy, finance, secure communications, and many others. In order to understand the current status of quantum computing and identify its challenges, a systematic review of the existing literature will be valuable. An overview of quantum computing literature and its taxonomy is presented in this chapter. Further, the proposed taxonomy aims to identify research gaps by mapping various related studies. There is a detailed analysis of quantum technologies with the most current state of the art. Finally, the chapter presents a highlight of open challenges and future research directions.
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