Dynamic Topology Optimization Geometry

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the potential of integrating topological optimization algorithms with quantum computing to achieve unprecedented precision and dynamic structural modeling in complex geometric objects. The core claim is that combining these two paradigms will unlock new avenues for simulating intricate phenomena, particularly molecular structures and material properties. We propose a novel quantum-enhanced topology optimization algorithm based on quantum entanglement, leveraging the inherent properties of quantum states to facilitate global optimization and real-time structural awareness. This represents a significant departure from traditional methods, offering enhanced computational power and the ability to model highly complex geometries with unmatched accuracy. We outline the key mechanism, detail the algorithm's implementation, and discuss the potential applications and future research directions of this groundbreaking approach.

DOI: 10.5281/zenodo.22453279

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