Dynamic Topology for Quantum System Adaptation

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum systems are notoriously sensitive to environmental fluctuations, making their stability a significant challenge in quantum computing and quantum information processing. Traditional parameter adjustment methods often rely on static adjustments, which can be inefficient and may not effectively address system dynamics. This paper explores the application of dynamic topology, specifically a novel approach to dynamically adjust quantum system parameters based on their internal state, to enhance stability. We propose a new algorithm that leverages the inherent properties of dynamic topologies to automatically optimize quantum system parameters in response to changing conditions. The core mechanism is the construction of a dynamic topology that adapts to the system's evolution, enabling more robust and predictable quantum behavior. The study demonstrates the effectiveness of this approach in stabilizing a complex quantum system through a process of continuous parameter adjustment.

DOI: 10.5281/zenodo.22220669

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