Algorithmic Quantum Simulation of Fluid Dynamics with Entangled Particles

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the implementation of an algorithmic quantum simulation approach for fluid dynamics, leveraging quantum entanglement to achieve a significant advancement over classical methods. The core claim posits the creation of a novel algorithm capable of generating remarkably accurate simulations of turbulent flows and wave propagation, addressing limitations of current computational capabilities. We detail the methodology, including the representation of fluid state using entangled particles, the quantum algorithm design, and preliminary results demonstrating improved accuracy in complex flow scenarios. The paper argues that this research has the potential to unlock novel insights into fluid dynamics and contribute to advancements in areas such as weather forecasting, computational fluid mechanics, and materials science.

DOI: 10.5281/zenodo.22186942

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