Quantum clustering with \(k\)-means: a hybrid approach

DOI10.1016/j.tcs.2024.114466arXiv2212.06691MaRDI QIDQ6190010

Alessandro Berti, Alessandro Poggiali, Gianna M. Del Corso, Riccardo Guidotti, Anna Bernasconi

Publication date: 5 March 2024

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2212.06691

zbMATH Keywords

clusteringdata miningquantum machine learning

Mathematics Subject Classification ID

Theory of computing (68Qxx)

Cites Work

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• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Supervised learning with quantum computers
• Quantum \(k\)-means algorithm based on Manhattan distance
• Quantum \(k\)-means algorithm based on trusted server in quantum cloud computing
• Quantum Computation and Quantum Information
• Circuit-Based Quantum Random Access Memory for Classical Data With Continuous Amplitudes

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