Dynamic Topology Geometry and Adaptive Topological Structures

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the intersection of dynamic topology geometry and quantum entanglement, proposing a novel approach to quantum information processing and storage through the design of a self-adaptive topological structure. We introduce a dynamic topology model predicated on quantum entanglement, utilizing instantaneous state changes to control the evolution of the topology, and integrating this with the principles of quantum computation. The core mechanism centers on creating entangled states that act as a dynamic "blueprint" guiding the topology's transformation. The resulting geometry offers enhanced computational efficiency and potential for novel quantum phenomena. This work investigates the feasibility of leveraging entangled states to dynamically shape topological structures, ultimately providing a pathway to more efficient and versatile quantum information handling.

DOI: 10.5281/zenodo.22273255

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