Quantum Adaptive Topological Optimization Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum adaptive topology optimization algorithm designed to enhance the performance of quantum computation. Traditional optimization methods often rely on static parameters, limiting the algorithm's adaptability. This research proposes a quantum-enhanced approach that dynamically adjusts the topology of a quantum system based on its internal state, enabling more efficient and precise solutions. We demonstrate the effectiveness of this algorithm through a series of simulations and analysis, highlighting its potential to overcome limitations of existing quantum optimization techniques. This algorithm leverages the inherent quantum properties to achieve a level of flexibility and robustness not previously achievable.

DOI: 10.5281/zenodo.22274295

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