Quantum Information-Driven Hyper-Resolution Geometric Modeling

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the potential of quantum information processing to revolutionize geometric modeling, specifically focusing on the creation of highly accurate hyper-resolution geometric models. Traditional geometric modeling techniques often struggle with complex structures, necessitating significant computational resources and, in some cases, approximation. We propose a novel approach leveraging quantum entanglement to establish a fundamentally different method for simulating and manipulating geometric space. This method utilizes quantum computation to accelerate the process of geometric reconstruction, resulting in unprecedented precision in spatial resolution. The core claim of this work is that quantum information processing, through the manipulation of quantum entanglement, enables the creation of a hyper-resolution geometric model capable of accurately simulating complex space geometries and achieving significantly higher precision in spatial resolution compared to existing methods. This research explores the theoretical underpinnings of this approach, provides a preliminary implementation of the core mechanism, and discusses potential challenges and future directions.

DOI: 10.5281/zenodo.22276182

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