@inproceedings{ea6bb41c6b0f41639b0fbcbfeb7831df,
title = "Assessing the similarity of quantum images based on probability measurements",
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 processing, image similarity, probability measurement, quantum computation, quantum image",
author = "Fei Yan and Le, \{Phuc Q.\} and Iliyasu, \{Abdullah M.\} and Bo Sun and Garcia, \{Jesus A.\} and Fangyan Dong and Kaoru Hirota",
year = "2012",
doi = "10.1109/CEC.2012.6256418",
language = "English",
isbn = "9781467315098",
series = "2012 IEEE Congress on Evolutionary Computation, CEC 2012",
booktitle = "2012 IEEE Congress on Evolutionary Computation, CEC 2012",
note = "2012 IEEE Congress on Evolutionary Computation, CEC 2012 ; Conference date: 10-06-2012 Through 15-06-2012",
}