Dynamic Random Matrix Quantum Topology Generation Model

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum topology, a fascinating and rapidly developing field, explores the geometric properties of quantum systems. It leverages the unique properties of quantum mechanics, particularly entanglement and superposition, to reveal structures that are fundamentally different from classical geometry. This paper introduces a novel approach to quantum topology generation – the Dynamic Random Matrix Quantum Topology Generation Model (DRM-QTMG). We propose a framework that utilizes dynamically generated matrices, allowing for the creation of novel topological states and exploring their potential applications across diverse fields. The core of our model lies in the intelligent manipulation of random matrices to generate complex topological configurations. The model's strength lies in its potential to surpass traditional topological generation methods by offering a more flexible and automated approach to exploring topological space. This work presents a comprehensive theoretical analysis and demonstrates the feasibility of this approach through illustrative examples.

DOI: 10.5281/zenodo.22315436

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