BMW Group, Airbus, Quantinuum to Fast-Track Sustainable Mobility Research Using Quantum Computers
August 4, 2023 | AirbusEstimated reading time: 3 minutes

Airbus, BMW Group and Quantinuum, world leaders in mobility and quantum technologies, have developed a hybrid quantum-classical workflow to speed up future research using quantum computers to simulate quantum systems, focusing on the chemical reactions of catalysts in fuel cells.
In a new technical paper, "Applicability of Quantum Computing to Oxygen Reduction Reaction Simulations“ shared on arXiv, the three partners report accurately modeling the oxygen reduction reaction ("ORR") on the surface of a platinum-based catalyst. The ORR is the chemical reaction in the process that converts hydrogen and oxygen into water and electricity in a fuel cell and it limits the efficiency of the process. It is relatively slow and requires a large amount of platinum catalyst, so there is great interest and value in better understanding the underlying mechanisms involved in the reaction.
Using Quantinuum's H-Series quantum computer, the collaboration team has demonstrated the applicability of quantum computing in an industrial workflow to enhance our understanding of a critical chemical reaction. The three companies plan further collaboration to explore the use of quantum computing to address relevant industrial challenges.
Dr. Peter Lehnert, Vice-President, Research Technologies at BMW Group stated: “Circularity and sustainable mobility are putting us on a quest for new materials, to create more efficient products and shape the future premium user experience. Being able to simulate material properties to relevant chemical accuracy with the benefits from the accelerating quantum computing hardware is giving us just the right tools for more speed in innovation for this decisive domain.”
As a pioneer in the global automotive market BMW Group recognizes the transformative potential of quantum computing and its importance in researching new materials, where it can enable faster and more efficient processes while reducing lab prototypes. Approaching and accurately simulating one of the most fundamental electrochemical processes for the first time using quantum computing marks a substantial step towards the sustainable energy transition, benefiting metal-air batteries, and other products with enhanced efficiency.
Isabell Gradert, Vice-President, Central Research & Technology at Airbus said: “We can clearly envision the benefits of the study in our quest for sustainable and hydrogen powered alternatives such as the ZEROe aircraft, which may operate on fuel cell engines. The study confirms that quantum computing is maturing at the scale we need for aviation.”
Airbus has identified hydrogen as a promising candidate to power low-carbon aircraft, because it emits no CO2 when flying, when generated from renewable energy. The company previously announced plans to start testing a hydrogen-powered fuel cell propulsion system onboard its ZEROe demonstrator aircraft in the next few years. The company has the ambition to develop the world’s first hydrogen-powered commercial aircraft for market entry by 2035.
Ilyas Khan, Chief Product Officer, Quantinuum said: “We have been excited to be working for some time now to support the BMW Group and Airbus, both leaders in their fields, and both of whom recognize that quantum computing could play a pivotal role in advancing future sustainable mobility. In this pioneering work, we demonstrate how to integrate quantum computing into the industrial workflows of two of the world's most technologically advanced companies, tackling material science problems that are a prime target for progress using quantum computing."
The research team hopes that understanding the ORR reaction provides insights that help them identify alternative materials that may improve the performance and reduce the production costs of fuel cells. Modeling chemical reactions such as the ORR accurately is an intractable task for classical computers, due to the quantum properties of the chemical mechanisms involved, making such simulations a good candidate to benefit from a potential quantum advantage in the future.
Suggested Items
University of Arizona Pioneering Technical Education Beyond Semiconductors
04/18/2025 | Marcy LaRont, PCB007 MagazineWhile many universities struggle to keep their curriculum up to date with the evolving needs of the electronics industry, the University of Arizona stands head and shoulders above the others. Its Center for Semiconductor Manufacturing incorporates five of the colleges at UA and emphasizes an interdisciplinary approach to prepare students for diverse careers in technology and manufacturing.
Lam Research Donates Leading-Edge Etch System to Accelerate Nanofabrication R&D at UC Berkeley
04/17/2025 | PRNewswireLam Research Corp. announced the donation of its innovative multi-chamber semiconductor etching system to the Marvell Nanofabrication Laboratory at the University of California, Berkeley to advance research and development (R&D) for next-generation chip technologies.
PCBAIR Invests in AI to Enhance Defect Prediction in PCB Manufacturing
04/11/2025 | PRNewswirePCBAIR, a leading provider of PCB manufacturing and assembly services with fully automated production lines, announced that it is increasing funding for research and development to incorporate AI into its manufacturing processes, dramatically improving defect prediction accuracy and efficiency.
Roke Secures Long-Term UK Missile Defence Centre Science and Technology Framework Contract
04/07/2025 | RokeRoke has been awarded a major multi-year contract known as Science & Technology Oriented Research & development in Missile defence (STORM), partnering with the UK Missile Defence Centre (MDC) to deliver cutting-edge research for Missile Defence.
BrainChip Partners with RTX’s Raytheon for AFRL Radar Contract
04/03/2025 | BUSINESS WIREBrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that it is partnering with Raytheon Company, an RTX business, to service a contract for $1.8M from the Air Force Research Laboratory on neuromorphic radar signaling.