News Release

BMW Group and Pasqal expand collaboration to apply quantum computing to improve car design and manufacturing

Next phase of collaboration aims to make BMW Group’s cars safer, lighter & more fuel efficient through accelerated simulations

Business Announcement

HKA Marketing Communications

Paris, May 11, 2022- Pasqal,  the leading manufacturer of neutral atoms quantum processors, today announced a new undertaking with BMW Group to enhance the automaker’s primary manufacturing processes. Leveraging Pasqal’s algorithm for solving differential equations (problems where a change in one of the variables does not uniformly affect the outcome), BMW Group aims to analyze the applicability of quantum computing technology to metal forming applications modeling.

These applications require extensive simulations to ensure auto parts are conforming to specifications. Predictive and rapid virtual modeling will bring the manufacturing process towards safer designs, more sustainable products and zero-prototyping. Pasqal’s researchers have developed a digital-analog implementation of its quantum methods, tailored for its neutral-atom quantum processors, which makes these applications 30 times more efficient than on competing superconducting quantum processors.

Highly accurate computational simulation would allow BMW Group to replace costly physical build-test-improve cycles, as current classical computational methods are incapable of dealing with the complexity of simulating a full vehicle at the desired accuracy. Such simulations will ultimately help BMW Group create lighter parts, making cars more fuel-efficient.

This collaboration is the result of Pasqal’s selection as a winner of the BMW Group Quantum Computing Challenge late last year. Previous collaborations focused on developing quantum computational methods for chemistry and materials-science which can for instance be used to optimize battery designs at the atomistic level. The renewed collaboration extends this scope to other relevant time and length scales adding micro- and macro-level materials simulations.

“Renewing and extending the scope of our collaboration with BMW Group is a clear sign of the value Pasqal can bring to our customers. Each time we collaborate with BMW Group, we discover something more we can do to help them develop superior automobiles,” said Georges-Olivier Reymond, CEO of Pasqal. “Pasqal currently offers the only method on the market for solving these types of differential equations with quantum technology, which are critical to execute effective and accurate simulations. We’re proud to work with BMW Group to improve manufacturing processes and safety through our technology.”

Pasqal believes these use cases are excellent candidates for early quantum advantage with its proprietary quantum algorithms, which the company plans to reach within two years. These complex simulations will run over a six-month period in Pasqal’s facilities.  Real world applications for these simulations include crash testing and accelerated development of new parts and materials which are lighter and stronger, keeping passengers safe while both reducing emissions and cutting development costs.

To learn more about Pasqal, please visit:

About Pasqal
Pasqal builds quantum computers from ordered neutral atoms in 2D and 3D arrays with the goal of bringing a practical quantum advantage to its customers in addressing real-world problems, especially in quantum simulation and optimization. Pasqal was founded in 2019 by Georges-Olivier Reymond, Christophe Jurczak, Professor Dr. Alain Aspect, Dr. Antoine Browaeys and Dr. Thierry Lahaye. Based in Palaiseau and Massy, south of Paris, Pasqal has secured more than €40 million in financing combining equity and non-dilutive funding from Quantonation, the Defense Innovation Fund, Runa Capital, BPI France, ENI and Daphni.

Twitter: @pasqalio

Media Contact

Alex Mercurio
HKA Marketing Communications
T: 949-940-5656

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.