Work

Image Coding and Quantum Gauss Filtering Modeling Based on Quantum Algorithm

Year: 2026

Type: conference-paper

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.

DOI: 10.57033/kfu.jru-2026-00109

Authors: N.S. Mamatov, D.T. Muhamediyeva, U.N. Ganiyev

Institution: Tashkent Institute of Irrigation and Agricultural Mechanization Engineers

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W7171955957

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