Quantum Topologies: Adaptive Geometry Constraints

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum topologies, a fascinating field of condensed matter physics, offer a novel approach to designing and controlling complex geometric structures. This paper explores the application of adaptive geometry constraints, leveraging the principles of quantum entanglement and topological structure, to optimize and control the formation of quantum geometries. We propose a novel algorithm that dynamically adjusts constraints based on quantum state evolution, allowing for a more robust and controllable outcome. This research addresses the limitations of traditional geometric constraint methods by providing a framework for navigating the inherent complexities of quantum geometry. The core claim is that a carefully designed quantum topology constraint algorithm can significantly enhance the stability and predictability of topological structures. This work presents a preliminary investigation of this approach, focusing on the design of a constraint system that incorporates quantum entanglement and topological properties.

DOI: 10.5281/zenodo.22447851

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