Quantum State Adaptive Topology Optimization

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper presents an innovative adaptive topology optimization algorithm specifically designed for quantum states. Traditional topology optimization methods are primarily employed for classical problems, but this work introduces a novel approach that leverages the inherent adaptability of quantum states to dynamically adjust quantum state structures, thereby optimizing quantum state performance and enhancing quantum computation efficiency. The core mechanism centers on utilizing quantum state self-consistency to guide the optimization process, achieving a level of control and flexibility not typically found in conventional techniques. The algorithm's potential impact spans across diverse quantum computing applications, offering a pathway to enhance the performance of quantum systems.

DOI: 10.5281/zenodo.22156383

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