基于量子隐描述的复杂系统建模和仿真
Jincheng Zhang
Abstract
This paper investigates the application of quantum entanglement and quantum computation to model and simulate complex systems. Traditional numerical methods often struggle with the inherent complexity of these systems, limiting their applicability. We propose a novel approach utilizing quantum entanglement to create a quantum representation of the system's state, enabling efficient simulation and enhanced modeling capabilities. This research focuses on building a robust and scalable model for a specific, complex system – the dynamics of a fluid flow involving intricate interactions and emergent behavior. The core mechanism involves encoding the system's variables using quantum entanglement, leveraging the unique properties of these systems to accelerate simulation and achieve a high degree of fidelity. This work demonstrates the potential of quantum entanglement to revolutionize the modeling and simulation of complex systems, offering a pathway towards more accurate and efficient analysis.