Adaptive Quantum Topology Networks

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum topology networks (QTN) represent a promising paradigm for quantum information processing and communication, leveraging the unique properties of quantum geometry to enable enhanced data transmission and manipulation. This paper explores the design and implementation of an adaptive quantum topology network, which dynamically adjusts network topology to optimize quantum information flow and significantly enhance quantum communication capabilities. We present a novel approach utilizing a feedback loop to continuously refine the network's structure, improving the robustness and efficiency of quantum data transfer. The core mechanism involves adjusting node positions, edge weights, and even the topology itself, all guided by a dynamic optimization algorithm. The advantages of this approach – dynamic adaptability, improved communication efficiency, and enhanced robustness – are discussed, highlighting its potential impact on the field of quantum computing.

DOI: 10.5281/zenodo.22297358

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