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Topological Geometry Dynamic Modeling

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

This paper introduces a novel dynamic topology calculation model based on quantum phase transitions. Traditional topological computation often relies on predefined structures, limiting the ability to dynamically optimize and explore geometric features. This work leverages quantum entanglement to design a novel computational algorithm, effectively modeling and optimizing complex topological structures through "emergence." We demonstrate that this approach surpasses the limitations of traditional methods by enabling the discovery of novel geometric patterns and facilitating automated structural refinement. The core mechanism involves a quantum-enhanced iterative refinement process, driven by entanglement and allowing for the generation of intricate topological landscapes. This represents a significant advancement in computational topology, offering a pathway toward automated design and optimization of intricate geometric forms.

DOI
10.5281/zenodo.22635359

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This paper explores the potential of leveraging quantum entanglement to develop a novel framework for modeling complex topological structures. Traditional geometric methods often struggle with intricate topological systems, limiting their computational power. We propose a new approach that utilizes quantum entanglement as a fundamental computational element, designing a specialized algorithm to directly map and predict topological patterns. This work aims to move beyond traditional geometric approaches by introducing a quantum-enhanced modeling paradigm. The core mechanism centers on establishing a dynamic entanglement structure that facilitates the precise representation of topological phenomena. This innovation has the potential to significantly advance the field of topological geometry through enhanced computational capabilities and the ability to directly simulate intricate topological systems.
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This paper introduces a novel quantum geometry computation framework based on dynamic topology. We propose a method for constructing and manipulating quantum geometric structures using quantum entanglement, enabling highly accurate and efficient geometric calculations. The framework leverages the inherent properties of dynamic topology to generate complex geometric patterns with minimal computational cost. The core mechanism involves establishing and maintaining entanglement between multiple quantum systems, which provides a pathway for complex geometric transformations. This approach overcomes the limitations of traditional geometric computation, offering the potential for significant advancements in geometric modeling and analysis. This work aims to provide a robust and scalable computational tool for exploring and manipulating quantum geometric data.
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