##基于自适应的几何变换的基于量子计算的图像重建算法

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel image reconstruction algorithm based on adaptive geometric transformations and quantum computing, addressing the limitations of traditional image reconstruction techniques. The core of this algorithm leverages quantum error correction to enable dynamic and self-adaptive reconstruction, significantly enhancing the algorithm's robustness and efficiency. We present a detailed analysis of the algorithm's architecture, highlighting the crucial role of quantum entanglement and superposition in facilitating the iterative refinement of the image. The proposed method demonstrates superior performance in reconstructing high-resolution images with complex motion and noise, offering a significant advancement in image processing and reconstruction technologies.

DOI: 10.5281/zenodo.22520897

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