An application of quantum fluid dynamics

Chia‐Liang Lin, Jenn‐Kun Kuo, Tsu-Hsu Yen

Jincheng Zhang

Quantum simulation offers unprecedented capabilities in modeling complex systems, and fluid dynamics presents a particularly challenging area for computational advancements. This paper explores the application of quantum computing to enhance fluid dynamics simulations, focusing on the development of a novel adaptive grid algorithm. Traditional methods often struggle with the inherent computational cost of simulating fluid flows with high resolution, limiting accuracy and scalability. This work introduces a dynamically adjusting grid scheme that optimizes the simulation by leveraging quantum phenomena to achieve significantly improved accuracy and reduced computational resources. The paper details the implementation of this adaptive grid algorithm, demonstrates its effectiveness through a series of simulations, and discusses the potential implications for future research and applications in fluid dynamics.

L. J. F. Broer

Jincheng Zhang

Quantum-Enhanced Fluid Dynamics Simulation (QEDS) presents a novel approach to complex fluid dynamics simulation, leveraging the principles of quantum mechanics to accelerate calculations and enhance the fidelity of results. Traditional CFD methods often struggle with computationally intensive scenarios, particularly those involving extreme conditions and high dimensionality. QEDS aims to overcome these limitations by integrating quantum effects into the simulation process. This paper explores the fundamental concepts behind QEDS, detailing the core mechanism for achieving enhanced performance, and discussing potential applications across diverse fluid dynamics domains.

Chia‐Liang Lin, Tsu-Hsu Yen

Jeffrey Yepez