Title: Adaptive Quantum Self-Organization Control Based on Quantum Topology Networks

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum self-organization (QSO) networks offer a promising platform for enhancing the stability and complexity of quantum devices. This paper introduces an adaptive quantum self-organization control framework utilizing dynamic network restructuring, aiming to achieve robust and sophisticated quantum performance. We propose a novel method for dynamically adjusting the network topology, leveraging quantum self-organization principles to mitigate inherent vulnerabilities and enhance device control. This approach addresses limitations of static topology-based networks by providing a flexible and responsive control mechanism. The fundamental concept revolves around constructing a network that evolves based on internal quantum states, allowing for targeted adjustments to the network's structure. We detail the key components of this framework, including the quantum state initialization, self-organization algorithms, and control mechanisms that govern network evolution. The paper concludes with a detailed discussion of the theoretical foundation, experimental validation, and future research directions of this innovative approach.

DOI: 10.5281/zenodo.22316955

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