Title: Quantum-Enhanced Diffusion for Signal Processing

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum-enhanced diffusion, a novel approach leveraging quantum mechanics to optimize diffusion-based signal processing algorithms, presents a significant advancement in data recovery rates. This paper explores the potential of quantum tunneling to accelerate the diffusion process, ultimately enhancing the efficiency of data extraction. We detail the theoretical framework underpinning this technique, outlining the fundamental principles of quantum tunneling and their application to signal processing. We present a comprehensive analysis of the algorithm's design, demonstrating its potential advantages over traditional diffusion methods. This work establishes a strong foundation for future research and development in this field, potentially revolutionizing data recovery techniques.

DOI: 10.5281/zenodo.22316175

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