Quantum Image Generation with Enhanced Detail and Texture: A Novel Approach

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computation offers the potential for unparalleled computational power, and its application to image generation holds significant promise. This paper explores a novel quantum image generation algorithm leveraging the unique properties of quantum entanglement and superposition to achieve enhanced detail and texture in generated images. We propose a method that utilizes quantum entanglement to manipulate pixel values, effectively refining image features and improving overall visual quality. The core mechanism centers around a sophisticated iterative refinement process, guided by quantum entanglement, designed to overcome limitations of conventional image generation techniques. This work presents a novel algorithmic framework that demonstrates potential improvements in image fidelity and visual appeal. The algorithm's effectiveness is evaluated through simulations and preliminary testing, demonstrating its ability to produce images with significantly enhanced detail and texture.

DOI: 10.5281/zenodo.22269168

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