Adaptive Geometric Deformation of Image Processing via Quantum Computing

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel image processing algorithm leveraging the unique properties of quantum computing, specifically quantum error correction and quantum computation, to achieve adaptive geometric deformation of images. The core concept revolves around utilizing quantum entanglement and superposition to dynamically manipulate image elements, offering a significant advantage over traditional methods. We explore the design of a quantum-enhanced deformation process that adapts to variations in input data, improving image quality and robustness. The algorithm employs a quantum-based stabilizer field to control the geometric transformation, achieving a substantial improvement in precision and efficiency compared to existing approaches. This research focuses on the potential of quantum computing to revolutionize image manipulation, particularly in scenarios requiring dynamic and adaptable transformations.

DOI: 10.5281/zenodo.22520877

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