Quantum Topology-Based Self-Organized Computing Framework

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel self-organizing computing framework leveraging quantum topology to dynamically adjust system topology and computational complexity. Traditional computing paradigms often rely on static configurations, limiting the potential for highly adaptive and efficient computation. We propose a framework that utilizes quantum topology principles to generate self-organizing systems capable of self-adjusting to complex problems, offering a fundamentally new approach to computational design. This framework aims to address limitations in traditional approaches by providing dynamic, adaptive, and potentially highly efficient solutions. The core mechanism focuses on manipulating the system's topology through quantum entanglement, allowing for effortless optimization of computational resources. We explore the theoretical underpinnings of this approach and present preliminary results demonstrating the framework's effectiveness in solving a specific, albeit simplified, computational problem.

DOI: 10.5281/zenodo.22294368

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