Publications
Talk · April 17, 2026
IMAGE CODING AND QUANTUM GAUSS FILTERING MODELING BASED ON QUANTUM ALGORITHM
Narzillo Mamatov, D.T. Muhamediyeva, U. N. Ganiyev
Abstract
This article considers the issue of representing and processing images in a quantum computer environment. In the study, a 16×16 grayscale image was encoded into a quantum state using the Noise Entangling Quantum Representation (NEQR) algorithm. A probabilistic noise model that includes depolarization and measurement errors was used as a quantum noise model. The results serve to assess the practical capabilities and limitations of quantum image processing algorithms and create a methodological basis for future quantum image processing systems.
Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum Mechanics and Applicationsquantum image processingquantum state encodingquantum noise models
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