IMAGE CODING AND QUANTUM GAUSS FILTERING MODELING BASED ON QUANTUM ALGORITHM
Received: 2026-07-17 17:24:02
Published: 2026-04-18
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.
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