Dynamic Quantum State Evolution: A Novel Algorithmic Framework for Adaptive Topological Structure

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel algorithmic framework for the dynamic evolution of quantum states, specifically designed to optimize complex quantum systems, including those relevant to quantum information storage and transmission. The core of our approach lies in dynamically adjusting the topology of a quantum state based on its internal dynamics, achieved through a sophisticated iterative process. We introduce a method that leverages the inherent properties of quantum states to guide the evolution toward desired configurations. The algorithm's effectiveness is demonstrated through a detailed analysis of the evolution of a specific quantum system, highlighting its ability to achieve optimal performance metrics. This work addresses a long-standing challenge in quantum information science – the need for adaptive topological structures – offering a promising pathway towards more efficient and robust quantum systems.

DOI: 10.5281/zenodo.22489722

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