If you are an EV manufacturer dealing with battery overheating and efficiency loss — this project developed quantum algorithms that optimize battery cooling. This allows for more precise thermal management to increase vehicle efficiency.
Quantum Computing Software for High-Precision Fluid Flow and Thermal Design
Imagine trying to predict how air or water moves using a map that is too blurry to see the small details. Current computers have to simplify the math to get an answer, which often leads to mistakes. This project uses quantum computers to see every tiny detail perfectly without needing those shortcuts. It is like switching from a rough sketch to a high-definition 3D model for everything from car cooling to ship hulls.
What needed solving
Current fluid dynamics simulations are too slow or inaccurate because they rely on simplifications to fit classical computer limits. This forces companies to compromise on design precision or spend excessive time on computations.
What was built
A quantum software toolset and an interface for OpenFOAM. It includes tensor-network methods and gate-level simulations to solve fluid flow problems.
Who needs this
Who can put this to work
If you are an aircraft designer dealing with complex airflow simulations that take too long or are inaccurate — this project developed a quantum software interface for OpenFOAM. This enables the resolution of all physical scales to improve aerodynamic design.
If you are a shipbuilder dealing with the high computational cost of simulating sea vessel hull resistance — this project developed a quantum algorithmic tool. It aims to provide these simulations at a small fraction of the cost required by classical methods.
Quick answers
What is the cost or price of this software?
Based on available project data, pricing information is not provided as the project is currently in the research and development phase.
Can this be used at an industrial scale today?
The project is currently benchmarking algorithms on emulators and early quantum hardware. Full industrial scale depends on the availability of future quantum flagship hardware.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not disclosed, though the software is being designed to interface with the open-source standard OpenFOAM.
How does this integrate with my current tools?
The project is creating a direct interface between the quantum software and OpenFOAM, which is the industry standard for computational fluid dynamics.
What is the timeline for deployment?
The project period runs from 2022-11-01 to 2027-04-30, indicating that final results and hardware requirements will be clarified by early 2027.
Who built it
The consortium is heavily academic, with 5 universities and 1 research institute, but maintains a 25% industry presence through 2 SMEs. This balance suggests the project is focused on fundamental algorithmic breakthroughs while keeping a link to practical application in the automotive and transport sectors.
University of Hamburg
Talk to the team behind this work.
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