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F. Yan, P. Q. Le, A. M. Iliyasu, B. Sun, J. A. Garcia, F. Dong and K. Hirota, “Assessing the Similarity of Quantum Images Based on Probability Measurements,” 2012 IEEE World Congress on Computational Intelligence, Brisbane, 10-15 June 2012, pp. 1-6.
doi:10.1109/CEC.2012.6256418
has been cited by the following article:
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TITLE:
Quantum Image Searching Based on Probability Distributions
AUTHORS:
Fei Yan, Abdullah M. Iliyasu, Chastine Fatichah, Martin L. Tangel, Janet P. Betancourt, Fangyan Dong, Kaoru Hirota
KEYWORDS:
Quantum Computation; Image Processing; Quantum Image; Quantum Circuit; Image Searching; Probability Distribution
JOURNAL NAME:
Journal of Quantum Information Science,
Vol.2 No.3,
September
28,
2012
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.