Title: Quantum-Inspired Geometric Modeling for Image Processing

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum-inspired geometric modeling presents a novel approach to image processing, leveraging the principles of quantum phenomena to enhance feature extraction. This paper investigates the potential of constructing a geometric model based on entanglement, aiming to improve the accuracy and robustness of image analysis algorithms. The core mechanism centers around establishing a relationship between image features and quantum states, effectively mimicking quantum properties to facilitate more precise and efficient analysis. We explore the theoretical underpinnings of this concept, detailing the mathematical framework and outlining experimental considerations to validate its effectiveness. The research will focus on enhancing the representation of image features through a novel geometric representation, ultimately contributing to advancements in image processing.

DOI: 10.5281/zenodo.22292994

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