Quantum Topology Network Optimization Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum topology network optimization algorithm, leveraging quantum entanglement and quantum simulation to enable complex system adaptation and self-healing capabilities. Traditional quantum network optimization methods are often static, necessitating adjustments that may not consistently yield optimal results. Our proposed algorithm utilizes quantum entanglement to dynamically adjust network parameters, fostering resilience and adaptability within the system. We demonstrate the algorithm's effectiveness through a series of simulations, showcasing improved performance in complex, dynamic scenarios. The core mechanism involves a quantum-enhanced feedback loop that continuously monitors and adjusts network topology, maximizing system stability and responsiveness. Keywords: Quantum Topology, Network Optimization, Quantum Entanglement, Quantum Simulation, Self-Healing Systems, Adaptive Networks.

DOI: 10.5281/zenodo.22276122

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