Self-Organizing Topological Networks and Quantum Computing Co-Evolution

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper explores the synergistic potential of self-organizing topological networks and quantum computing co-evolution in the optimization of quantum systems. Traditional quantum computation models frequently overlook topological structure, presenting a significant gap in our understanding of complex quantum systems. This research proposes a novel algorithm leveraging the inherent properties of self-organized topological networks to dynamically adjust quantum system parameters and topology, fostering enhanced performance and adaptability. We detail a core mechanism focusing on the interplay between entangled states, quantum tunneling, and topology manipulation to drive iterative optimization. The integration of these elements promises a paradigm shift in quantum system design and control.

DOI: 10.5281/zenodo.22158876

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