DocumentCode :
2819814
Title :
Assessing the similarity of quantum images based on probability measurements
Author :
Yan, Fei ; Le, Phuc Q. ; Iliyasu, Abdullah M. ; Sun, Bo ; Garcia, Jesus A. ; Dong, Fangyan ; Hirota, Kaoru
Author_Institution :
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
A method to analyze the similarity between two quantum images of the same size is proposed based on a representation for the quantum images. The similarity value is estimated according to the probability distribution of the results from quantum measurements. The proposed method is fast because a single operation can transform the entire information encoded in two images simultaneously. Two simulation-based experiments, which provide a reasonable estimation to the quantum images´ similarity, are implemented using Matlab on a classical computer by means of linear algebra with complex vectors as quantum states and unitary matrices as unitary transformations. It also opens the door towards image searching from a database on quantum computers.
Keywords :
image representation; linear algebra; quantum computing; statistical distributions; Matlab; classical computer; complex vectors; image representation; image searching; linear algebra; probability distribution; probability measurements; quantum computers; quantum images; quantum measurements; quantum states; similarity value; unitary matrices; unitary transformations; Computers; Image color analysis; Logic gates; Quantum computing; Strips; Vectors; Wires; image processing; image similarity; probability measurement; quantum computation; quantum image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
Type :
conf
DOI :
10.1109/CEC.2012.6256418
Filename :
6256418
Link To Document :
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