Exploring Quantum Tunneling in Design of Experiments: a New Approach to Optimizing Complex Systems
Year: 2025
Type: article
Abstract: This article explores the integration of quantum tunneling into the design of experiments (DOE) to optimize complex systems. It discusses classical DOE techniques, highlighting their strengths and limitations, particularly in the context of complex systems. Quantum-inspired algorithms, utilizing principles like superposition and tunneling, are presented as a means to navigate complex solution spaces more efficiently. The integration of quantum tunneling with classical DOE tools is identified as a hybrid approach that enhances optimization in high-dimensional parameter spaces. The article also discusses the application of quantum tunneling in real-world scenarios, including manufacturing, supply chain management, energy sector optimization, catalysis, and biological systems, indicating its potential to revolutionize complex systems across multiple domains.
Author: Brandl, Edenilson
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6968080927
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