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Talk · International Conference on Optics, Computer Applications, and Materials Science · May 16, 2025

Quantum encoding of images using NEQR, FREI, and LPIQE methods

Dilnoz Muhamediyeva, Narzillo Mamatov, Gulsara Ametova, Abdurashid Samijonov, Vohid Fayziyev

Narzillo Mamatov
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Abstract

Modern approaches to quantum image encoding are covered in this article, including LPIQE (Low-precision Quantum Image Encoding), FRQI (Functional Representation of Quantum Images), and NEQR (New Improved Quantum Representation). Because it enables effective picture processing on quantum computers with constrained resources, quantum image encoding is a crucial component of quantum computing. The page goes into great length on each method's working principles, benefits, and limitations, as well as the domains in which they can be applied. The benefits of representing binary and color images with quantum qubits are examined, along with the significance of encoding correctness and the effectiveness of employing quantum resources. Finally, the potential of quantum picture encoding for the advancement of data compression, image processing, and novel computing technologies is explored. Examples of algorithms, explanations of their properties, and potential uses in image processing and quantum computing are all covered in the article.

Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyComputer Science and Engineeringquantum image encodingquantum image representationquantum image processing

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