Quantum Self-Organizing Networks for Network Control
Jincheng Zhang
Abstract
This paper investigates the application of quantum self-organizing networks (QSONs) to network control, exploring the potential of leveraging quantum entanglement for automated network structure control and state prediction. We present a novel system utilizing QSONs to dynamically adjust network topology and behavior, offering a fundamentally different approach compared to traditional network control methods. The core mechanism centers around utilizing quantum entanglement to establish and maintain a self-regulating network structure, allowing for proactive adaptation to dynamic network conditions. The proposed system demonstrates the ability to predict network states with enhanced accuracy, offering significant advantages in complex, evolving network environments.