Dynamic Topology Optimization Algorithm - Based on Quantum Entanglement

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper introduces a novel dynamic topology optimization algorithm leveraging quantum entanglement to enhance numerical simulations. The algorithm utilizes a quantum-enhanced geometry adjustment mechanism to precisely model and compute complex geometric shapes, leading to improved accuracy and efficiency. We demonstrate the effectiveness of this approach through simulations of various geometric structures, highlighting its potential for accelerating scientific and engineering applications. The core mechanism centers around establishing entangled states to dynamically adjust the topology, enabling a more refined and efficient modeling process. This research explores the potential of quantum mechanics to revolutionize geometric optimization and numerical simulations.

DOI: 10.5281/zenodo.22223718

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