Quantum State-Based Complexity Scaling

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum State-Based Complexity Scaling presents a novel methodology for quantifying and scaling complexity within complex systems, leveraging the principles of quantum entanglement and superposition. The core claim centers on the development of a method for identifying and quantifying complexity through observation, utilizing quantum state analysis. This research investigates the potential of entanglement as a key mechanism for enhancing the ability to measure and scale complexity, offering a fundamentally different approach compared to conventional methods. The paper presents a theoretical framework outlining the process, including the design of quantum measurement protocols and the analysis of resulting entanglement patterns. We explore the potential applications of this approach across diverse fields, including materials science, biology, and even complex algorithms. This work aims to contribute to a deeper understanding of complexity and to provide a practical tool for quantifying and scaling this crucial phenomenon.

DOI: 10.5281/zenodo.22439992

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