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Quandela and Safran Partner on Quantum Fluid Simulation Research

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⚡ Quantum Brief
Quandela and Safran Tech launched AQeFLU, a joint research project to develop quantum algorithms for fluid flow and aerodynamic modeling, aiming to revolutionize aircraft and propulsion system design. The initiative seeks to complement classical simulation methods by reducing reliance on costly wind tunnel tests, accelerating development cycles, and increasing design phase accuracy for future engines and energy systems. Funded by the Île-de-France Region’s PAQ Quantique program, the project combines Quandela’s photonic quantum computing expertise with Safran Tech’s fluid mechanics and computational methods knowledge. Initial testing will focus on academic benchmark cases before scaling to industrial applications in combustion and aerospace, with long-term goals including improved aerodynamic performance and reduced fuel consumption. Both companies emphasize the partnership’s potential to advance European quantum computing adoption, with Safran’s global aerospace expertise pairing with Quandela’s cutting-edge photonic technology.
Quandela and Safran Partner on Quantum Fluid Simulation Research

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Insider Brief Quandela and Safran Tech launched the AQeFLU research project to develop quantum algorithms for fluid flow and aerodynamic modeling. The project will explore how quantum computing can complement classical simulation methods used in aircraft and propulsion system design. Initial work will focus on academic benchmark cases before expanding to industrial applications in combustion and aerospace systems. PRESS RELEASE — Quandela and Safran Tech, Safran’s research and technology centre, have announced the launch of the AQeFLU research project. This partnership aims to develop new quantum algorithms dedicated to the complex modelling of fluid flows. The simulation of airflow around aerodynamic profiles is a key challenge in optimising aircraft performance. At present, such studies rely on large-scale numerical calculations and lengthy, costly wind tunnel tests. The AQeFLU project explores how quantum approaches can complement conventional methods to: Increase the share of numerical simulation and reduce the need for physical testing Multiply the number of configurations tested during the design phase with greater accuracy Accelerate the development cycles of future engines and energy systems. This project is supported by the PAQ Quantique programme, funded by the Île-de-France Region. It is based on close collaboration between two leading organisations: Quandela contributes its unique photonic technology, which uses light to process quantum information, as well as its software expertise. Safran Tech contributes its in-depth knowledge of fluid mechanics and “reference computational methods. Together, the teams will first test the algorithms on standardised academic cases before moving on to advanced industrial applications, particularly in the field of combustion and propulsion systems. “In the long term, the use of quantum computing could make industrial design phases more efficient, whilst paving the way for tangible advances, such as improved aerodynamic performance and reduced fuel consumption,” explains Frédéric Feyel, Director of the Digital Platform at Safran Tech. “The coming years will be pivotal for industrial applications using quantum technology. We are delighted with this new partnership with Safran, an industrial group recognised worldwide for its expertise in the fields of aerospace, space and defence. Our collaboration is a further illustration of the interest European manufacturers have in quantum computing,” says Valérian Giesz, co-founder and COO of Quandela.

Mohib Ur Rehman LinkedIn Mohib has been tech-savvy since his teens, always tearing things apart to see how they worked. His curiosity for cybersecurity and privacy evolved from tinkering with code and hardware to writing about the hidden layers of digital life. Now, he brings that same analytical curiosity to quantum technologies, exploring how they will shape the next frontier of computing. Share this article:

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Source: Quantum Daily