Self-Organizing Quantum Computation Networks

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computation utilizing self-organizing quantum network architectures. The core concept revolves around dynamically adjusting quantum network node connections to optimize quantum state distribution and enhance computational efficiency. Traditional quantum networks suffer from static configurations, limiting their adaptability to complex environments. Our system leverages a dynamically evolving network topology, enabling quantum information to be distributed more effectively and facilitating the exploration of a wider range of quantum algorithms. The proposed architecture significantly improves upon existing methods by incorporating adaptive connection weights and incorporating a feedback mechanism to maintain network coherence. This results in a more robust and efficient quantum computation system.

DOI: 10.5281/zenodo.22299583

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