Dynamic Topology Optimization Based on Quantum Entanglement

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the potential of quantum entanglement to revolutionize dynamic topology optimization. Traditional optimization methods often struggle with complex, high-dimensional problems, limiting their applicability in fields like materials science and engineering. We propose a novel algorithm, Dynamic Topology Optimization (DTO), which leverages quantum entanglement to achieve unprecedented speed and accuracy in finding optimal solutions. The core mechanism involves creating entangled states representing the potential topology of a structure, allowing for instantaneous exploration of multiple solution spaces. We demonstrate the effectiveness of DTO through rigorous simulations and preliminary results on benchmark problems, highlighting its potential to surpass classical optimization techniques. This paper presents a fundamental framework for quantum-enhanced topology optimization, exploring its theoretical foundations and practical implications.

DOI: 10.5281/zenodo.22636098

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