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A survey of quantum image representations

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Abstract

Quantum image processing (QIMP) is devoted to utilizing the quantum computing technologies to capture, manipulate, and recover quantum images in different formats and for different purposes. Logically, percolating this requires that representations to encode images based on the quantum mechanical composition of any potential quantum computing hardware be conjured. This paper gathers the current mainstream quantum image representations (QIRs) and discusses the advances made in the area. Some similarities, differences, and likely applications for some of the available QIRs are reviewed. We believe this compendium will provide the readership an overview of progress witnessed in the area of QIMP while also simulating further interest to pursue more advanced research in it.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 61502053). Additionally, AMI acknowledges funding from the Prince Sattam Bin Abdulaziz University Saudi Arabia via the Deanship for Scientific Research Project Number 2015/01/3317. SEVA gratefully acknowledges the financial support of Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias and CONACyT (SNI Member Number 41594).

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Authors and Affiliations

  1. School of Computer Science and Technology, Changchun University of Science and Technology, No. 7089, Weixing Road, Changchun, 130022, China

    Fei Yan

  2. College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Kingdom of Saudi Arabia

    Abdullah M. Iliyasu

  3. Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Carretera al Lago de Guadalupe KM. 3.5, Atizapán de Zaragoza, Estado de México, CP, 52926, Mexico

    Salvador E. Venegas-Andraca

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  1. Fei Yan
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  2. Abdullah M. Iliyasu
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  3. Salvador E. Venegas-Andraca
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Correspondence to Fei Yan.

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Yan, F., Iliyasu, A.M. & Venegas-Andraca, S.E. A survey of quantum image representations. Quantum Inf Process 15, 1–35 (2016). https://doi.org/10.1007/s11128-015-1195-6

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  • DOI: https://doi.org/10.1007/s11128-015-1195-6

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