Dynamic Topology-Based Adaptive Quantum State Modeling

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel dynamic topology-based adaptive quantum state modeling method. Traditional quantum state modeling approaches are often static, limiting the ability to dynamically adjust quantum states and thus hindering the representation of complex quantum phenomena. Our method leverages the self-adaptive properties of dynamic topology to automatically adjust quantum state parameters, enabling the simulation and control of quantum states exhibiting dynamic evolution. This represents a significant advancement in the field, offering a robust and flexible framework for modeling quantum systems with significant potential for applications in quantum computing and quantum information processing.

DOI: 10.5281/zenodo.22188663

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