Title: Quantum Entanglement-Based Topological Topology Structure Adaptive Mapping
Jincheng Zhang
Abstract
This paper explores the application of quantum entanglement to construct a novel adaptive mapping technique for topological structure modeling. We propose a framework that leverages the intrinsic properties of quantum entanglement to dynamically adjust and optimize the topology of a given topological structure. The core mechanism involves creating and manipulating entangled states to induce specific topological transformations, ultimately providing a more efficient and adaptable approach to topological optimization. This research investigates the potential of this methodology to address challenges in topological data analysis and structure design. The paper presents a conceptual framework and initial results demonstrating the effectiveness of this approach.