If you are an EV manufacturer dealing with slow battery degradation tests — this project developed a hybrid Quantum/AI platform that performs realistic performance and degradation simulations. This allows for faster design cycles and better battery life.
Quantum-Powered Simulation Software for Better Batteries and Aerodynamics
Imagine trying to predict how air flows around a car or how a battery wears out using a standard calculator; it takes forever and often misses details. This project builds a super-powered digital tool using quantum physics to solve these complex math problems instantly. It's like upgrading from a hand-drawn map to a real-time GPS for designing green energy tech.
What needed solving
Traditional simulation methods for batteries and aerodynamics are too slow and lack the precision needed for rapid green energy innovation. This creates a bottleneck in developing sustainable mobility solutions.
What was built
A hybrid Quantum/AI software platform called Qu&Co-Flow that solves complex partial differential equations for multiphysics simulations.
Who needs this
Who can put this to work
If you are an aircraft designer dealing with inefficient wind-tunnel testing — this project developed a PDE solver that accelerates aerodynamics simulations. This reduces the need for expensive physical prototypes.
If you are a fuel cell developer dealing with unpredictable chemical reactions — this project developed specialized simulation libraries that improve fuel cell performance. This leads to more efficient energy conversion.
Quick answers
What is the cost or pricing model for this software?
Based on available project data, specific pricing or licensing costs are not disclosed.
Can this be used at an industrial scale today?
The project has developed a platform capable of handling problem instances from small-scale analytical models to middle-scale scenarios.
Who owns the IP and how is it licensed?
Based on available project data, the IP is managed by Pasqal Netherlands BV, but specific licensing terms are not provided.
How does this integrate with my current tools?
The software is designed to be seamlessly integrated into standard simulation software provided by leading vendors.
What is the timeline for deployment?
The project period ran from 2022-12-01 to 2024-11-30.
Who built it
The project is led by a single SME, Pasqal Netherlands BV, which received an EU contribution of 2,496,599 EUR. This lean structure indicates a highly focused development effort by a specialized quantum computing company rather than a broad academic consortium.
Contact Pasqal Netherlands BV regarding Qu&Co-Flow integration
Talk to the team behind this work.
Contact us to find out how to integrate quantum PDE solvers into your R&D pipeline.