Paper:

# An RGB Multi-Channel Representation for Images on Quantum Computers

## Bo Sun, Abdullah M. Iliyasu, Fei Yan,

Fangyan Dong, and Kaoru Hirota

Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

*n*+3 qubits for encoding 2

^{n}× 2

^{n}pixel images, whereas pixel-wise processing is necessary in many other quantum image representations, e.g., qubit lattice, grid qubit, and quantum lattice. Simulation of storage and retrieval of MCQI images using human facial images demonstrated that 15 qubits are required for encoding 64 × 64 colored images, and encoded information is retrieved by measurement. Perspectives of designing quantum image operators are also discussed based onMCQI representation, e.g., channel of interest, channel swapping, and restrict version of color transformation.

*J. Adv. Comput. Intell. Intell. Inform.*, Vol.17 No.3, pp. 404-417, 2013.

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