Adaptive Complexity Measurement via Quantum-Enhanced Metrics
Jincheng Zhang
Abstract
This paper investigates a novel approach to quantitatively measuring complexity within complex systems, leveraging quantum entanglement to generate a measurement sensitive to subtle correlations and emergent patterns. Traditional complexity measures often struggle to capture the intricate dynamics of these systems. This work proposes a method that harnesses the unique properties of quantum entanglement to identify and quantify these hidden structures, offering a fundamentally different perspective on complexity assessment. We demonstrate, through theoretical analysis and preliminary simulations, the potential for this quantum-enhanced metric to surpass existing methods in its ability to detect and characterize complex behavior. The paper also outlines the challenges and future directions for this research.