Quantum Annealing for Clustering

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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8 pages, 6 figures, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009) accepted

Scientific paper

This paper studies quantum annealing (QA) for clustering, which can be seen
as an extension of simulated annealing (SA). We derive a QA algorithm for
clustering and propose an annealing schedule, which is crucial in practice.
Experiments show the proposed QA algorithm finds better clustering assignments
than SA. Furthermore, QA is as easy as SA to implement.

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