基于自适应的量子拓扑模型的拓扑扩展

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of a novel, self-adaptive quantum topology model to expand the scope of complex system modeling and analysis. Traditional methods often rely on manual parameter adjustment, limiting flexibility. We propose a framework that dynamically adjusts the underlying topology of a quantum system to accommodate environmental changes, enabling predictive and controllable system evolution. The core mechanism involves an adaptive algorithm that iteratively refines the topology, fostering robustness and adaptability. This approach offers a significant advancement in the representation and manipulation of complex systems.

DOI: 10.5281/zenodo.22200959

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