Quantum-Inspired Optimization for Complex Engineering Design

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-inspired optimization aims to leverage quantum mechanical principles to accelerate the design process for complex engineering systems. This paper investigates a novel optimization algorithm, dubbed "Quantum-Guided Optimization," that utilizes quantum tunneling to guide the search for optimal solutions. We demonstrate the algorithm's effectiveness in a challenging engineering design problem, showcasing significant improvements in convergence speed and solution quality compared to traditional optimization techniques. The core mechanism relies on mimicking quantum phenomena to enhance the exploration of the solution space. This research contributes to the advancement of efficient and robust optimization methods, potentially revolutionizing the design of complex systems.

DOI: 10.5281/zenodo.22187275

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