The French team has expanded its partnership with SEALSQ to integrate ColibriTD technologies, to better combine quantum computing and classical computing in its engineering environment.
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This collaboration aims to enable Alpine to more efficiently exploit its computing and testing resources, which are particularly limited by Formula 1 regulations.
The project notably plans to study the use of quantum solutions to accelerate certain complex calculations related to computational fluid dynamics (CFD), as well as thermal, structural, and multiphysics simulations.
Enstone steps up
A first step was taken in July, when engineers from Alpine, SEALSQ, and ColibriTD met in Enstone to identify areas where this technology could be applied and to prepare an initial proof of concept.
The solution developed by ColibriTD is designed to work with currently available quantum processors, which are still limited in power and reliability.
It therefore does not aim to replace the classical high-performance computing infrastructures used by Alpine, but to complement them through a hybrid approach.
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The final carat
In the context of the technical regulations introduced in 2026, Alpine thus hopes to extract more information from its simulations while staying within the resource limits imposed on teams.
“We are constantly seeking to improve our understanding of all areas and are continuously studying how emerging technologies can help us gain more insights from our data and simulations to inform our engineering decisions,” explains David Sanchez, Alpine’s Executive Technical Director.
Laurent Guiraud, co-founder of ColibriTD: “ColibriTD operates under constraints comparable to those of Alpine F1 Team: current quantum hardware is limited in qubits, coherence time, and connectivity, just as the team’s simulation budget is limited by regulations. H-DES was specifically designed to address this reality. ”
“This is a short-term, hardware-independent approach that leverages the computing capabilities of current and emerging quantum processors without waiting for the advent of fault-tolerant quantum computing,” concludes the scientist. “It is deployed to complement classical high-performance computing (HPC) infrastructures rather than replace them.”
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