# Simulating computational fluid dynamics

Developing efficient algorithms to optimize fluid dynamics simulation.

Quantum computing is emerging as a powerful tool for simulating fluid dynamics, offering a path beyond the computational limits of classical CFD to drive industrial innovation.

## Problem

Although quantum computing offers a framework for fluid dynamics simulation, a **major bottleneck** remains in efficiently **loading classical data** into quantum systems. Without efficient data encoding, quantum methods cannot outperform classical ones, making **data-loading optimization** a key challenge for practical applications.

## Solution

We leveraged **structural regularities** in fluid dynamics problems to design **approximate data loading** methods that enhance **state preparation** and **block encoding.** This approach achieved performance gains up to **four orders of magnitude** compared to prior techniques.

This work highlights the promise of approximation methods for quantum fluid simulations, showing a viable path toward practical, scalable quantum computing in engineering and scientific applications.

## Learn More

### [Xanadu and Rolls-Royce to build quantum computing tools with PennyLane](/content/press/xanadu-and-rolls-royce-to-build-quantum-computing-tools-with-pennylane/index.html)

[January 17, 2023](/content/press/xanadu-and-rolls-royce-to-build-quantum-computing-tools-with-pennylane/index.html)

### [High energy density batteries](/content/applications/high-energy-density-batteries/index.html)

Simulating spectroscopy to help build better batteries.

### [High-contrast quantum magnetometers](/content/applications/high-contrast-quantum-magnetometers/index.html)

Designing the next generation of quantum sensors.

## Where quantum meets industry

Xanadu is focused on building useful quantum computers to solve the world's most intractable computational problems.

## Advance your applications with quantum

Partner with our leading researchers to explore how our technology can address your most demanding applications.