Quantum Topology as an Adaptive Modeling Framework

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum topology, a fascinating field of physics, offers a unique approach to designing quantum systems with remarkable properties. This paper explores the potential of using adaptive models to construct quantum topological structures, aiming to enhance quantum computation and data processing capabilities. We propose a novel framework where the inherent topological properties of a quantum system are leveraged as a foundation for a dynamic, self-configuring model. The core of this approach lies in the ability of this model to adapt to diverse topological configurations, leading to improved computational efficiency and data handling. This research addresses the limitations of static models by presenting a dynamic system capable of self-optimization and exploration of complex topological landscapes. We delve into the theoretical and computational aspects of this framework, demonstrating its potential for generating novel and efficient quantum states.

DOI: 10.5281/zenodo.22327470

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