Assessing the similarity of quantum images based on probability measurements
Fei Yan, Phuc Q. Le, Abdullah M. Iliyasu +4 more
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.
IEEE Congress on Evolutionary Computation (CEC)•Jun 1, 2012•46 citations