Dynamic Topology-Based Quantum Topology Optimization

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper introduces a novel dynamic topology-based quantum topology optimization algorithm. Traditional optimization methods rely on classical calculations, while this approach leverages quantum spin states to dynamically optimize topology parameters, offering enhanced efficiency and potentially new insights into quantum topology. We propose a framework wherein the quantum spin state serves as a dynamic feedback mechanism, guiding the optimization process towards optimal topology configurations. The algorithm utilizes a quantum circuit to map the current topology parameters to a new set of parameters, effectively exploring the topology space with a quantum twist. The core mechanism involves a carefully designed quantum circuit that iteratively refines the topology based on feedback from the spin state, leading to improved optimization results compared to existing techniques. This research explores the potential of harnessing quantum properties to accelerate and refine the process of topology optimization.

DOI: 10.5281/zenodo.22222284

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