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Title: Quantum-Enhanced Geometric Simulation of Complex Fluid Dynamics

Jincheng Zhang

Published Sep 2, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of quantum-enhanced geometric simulation to revolutionize the representation and analysis of complex fluid dynamics. Traditional numerical methods often struggle to accurately model the intricate quantum effects that govern fluid flow, leading to inaccuracies and computational bottlenecks. We propose a novel simulation technique, incorporating a quantum-enhanced geometric framework, designed to address these limitations. This work details the algorithm's core principles, the quantum-mechanical elements employed, and the expected impact on simulation accuracy and speed. The research focuses on leveraging quantum entanglement and superposition to enhance the representation of fluid wave propagation, turbulence, and other crucial fluid dynamics phenomena. The ultimate goal is to provide a more robust and efficient method for simulating complex fluid dynamics, opening avenues for advancements in fields ranging from fluid mechanics to materials science.

DOI
10.5281/zenodo.22254757

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This paper investigates the application of quantum-enhanced geometric simulation to complex fluid flows, aiming to significantly improve accuracy and speed compared to traditional numerical methods. The core claim is to develop a novel quantum-based technique that utilizes quantum algorithms to represent fluid states and dynamics, leading to enhanced computational efficiency and precision. We explore the potential of leveraging quantum phenomena such as superposition and entanglement to address the inherent challenges of simulating fluid behavior, particularly those involving complex geometries and rapid changes. The paper presents a conceptual framework, outlines the key algorithmic steps, and discusses the challenges and opportunities inherent in this research area. The study emphasizes the transformative potential of quantum computing for fluid dynamics, paving the way for more accurate and efficient simulations of intricate flow phenomena.
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