Quantum Information Encoding for Complex Dynamical Systems

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum information encoding is a burgeoning field with the potential to revolutionize complex system modeling, particularly those exhibiting dynamic behavior. This paper investigates a novel approach to encoding complex dynamical systems into quantum information, leveraging quantum entanglement to achieve faster and more precise simulation compared to classical methods. We propose a method centered around the creation of entangled states that directly represent the state space of the system, offering a significant advancement in the ability to efficiently simulate and control these intricate systems. The core mechanism hinges on exploiting the inherent correlations within entangled states to facilitate a more streamlined and accurate representation of the system's dynamics. The potential impact of this research extends to diverse areas, including control systems, optimization, and fundamental physics research.

DOI: 10.5281/zenodo.22297949

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