Quantum Image Searching Based on Probability Distributions

Abstract

A quantum image searching method is proposed based on the probability distributions of the readouts from the quantum measurements. It is achieved by using low computational resources which are only a single Hadamard gate combined with m + 1 quantum measurement operations. To validate the proposed method, a simulation experiment is used where the image with the highest similarity value of 0.93 to the particular test image is retrieved as the search result from 4 × 4 binary image database. The proposal provides a basic step for designing a search engine on quantum computing devices where the image in the database is retrieved based on its similarity to the test image.

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F. Yan, A. Iliyasu, C. Fatichah, M. Tangel, J. Betancourt, F. Dong and K. Hirota, "Quantum Image Searching Based on Probability Distributions," Journal of Quantum Information Science, Vol. 2 No. 3, 2012, pp. 55-60. doi: 10.4236/jqis.2012.23010.

Conflicts of Interest

The authors declare no conflicts of interest.

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