Performance evaluation of three kinds of quantum optimization

Authors:
Bao Rong Chang;Hsiu Fen Tsai
Affiliations:
Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan;Department of International Business, Shu-Te University, Kaohsiung, Taiwan
Venue:
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Year:
2007

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Abstract

Three kinds of quantum optimizations are introduced in this paper as follows: quantum minimization (QM), neuromprphic quantum-based optimization (NQO), and logarithmic search with quantum existence testing (LSQET). In order to compare their fitting ability among three quantum optimizations, the performance evaluation on these methods is implemented for the application of time series forecast. Finally, based on the predictive accuracy of time series forecast the concluding remark will be made to illustrate and discuss these three quantum optimizations.