基于自适应的几何变换的基于量子计算的图像处理算法

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel image processing algorithm utilizing quantum computing principles, specifically focusing on adaptive transformations. Traditional image processing algorithms often rely on explicit, computationally intensive procedures that struggle to effectively handle dynamic image variations. We propose a quantum-enhanced approach that leverages quantum entanglement and superposition to achieve a degree of self-adaptation, allowing for more robust and efficient image manipulation. This work explores the potential of quantum computing to significantly improve the performance of image processing tasks, particularly in scenarios involving complex and rapidly changing visual data. The core mechanism revolves around implementing a quantum-enhanced geometric transformation process, incorporating quantum error correction to maintain the integrity of the transformation. The algorithm will be discussed in detail, including the theoretical underpinnings, implementation considerations, and preliminary results demonstrating the potential of this approach.

DOI: 10.5281/zenodo.22520911

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