Dynamic Topology Optimization and Quantum Computing Fusion

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the synergistic integration of dynamic topology optimization and quantum computing, proposing a novel approach to optimize quantum states through adaptive topology. We formulate a method that leverages the inherent self-adaptability of topological structures to dynamically adjust quantum states, facilitating quantum computation and information processing. The core mechanism centers around the exploitation of topological properties to guide the optimization process, offering a pathway to complex system optimization and quantum-enhanced manipulation. The study explores the potential of this integration to address challenges in quantum algorithm design and implementation.

DOI: 10.5281/zenodo.22588841

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