Quantum Topology Network Control: Adaptive Parameter Adjustment

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum topology networks (QTN) offer unique possibilities for information processing and communication due to their inherent robustness and ability to support complex quantum states. This paper explores the application of adaptive parameter adjustment algorithms to QTN networks, aiming to enhance network performance through dynamic adjustment of network parameters. We introduce a novel algorithm leveraging the self-adaptive nature of quantum topology networks to automatically adjust network parameters based on network topology changes. The core mechanism focuses on exploiting the network's responsiveness to structural variations, offering a significant advantage over traditional parameter optimization techniques. This research highlights the potential of QTN-based adaptive parameter adjustment for improving network efficiency and resilience.

DOI: 10.5281/zenodo.22192993

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