Small-Scale Turbulence as a Quantum System

Abstract

This research seeks to address a known problem in how turbulence is modeled. Currently, turbulent flows are modeled as fixed and deterministic, which fails to capture the chaotic features of turbulence. This proposal aims to represent turbulence as probabilistic events by modeling it as states of many-qubit quantum systems. This collaboration combines expertise in fluid dynamics and quantum computing to develop a new class of algorithms that can run on emerging quantum hardware. This research has implications not only in physics but also chemistry and biology by expanding our ability to simulate and understand complex multiscale systems. The Scientific Advisory Board noted that “this research opens a high-risk, high reward pathway towards scalable, physically grounded models for multiscale systems. Compelling proposal with strong letters of support.”

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