Two Collaborations with the Automotive Industry: BMW/Pasqal and Volkswagen/Terra Quantum

Two different collaborations between automotive and quantum companies were announced this week for projects that will work on different problems. The first was announced by Pasqal which will work with BMW to analyze the applicability of quantum computing technology to metal forming applications modeling. The goal is to design the metal body so it can be lighter and more fuel efficient without sacrificing strength or safety. This research will leverage Pasqal's neutral atom processor which can provide a unique digital-analog implementation which the company claims can provide a 30 times improvement over competing superconducting processors. Pasqal has implemented an algorithm leveraging this for solving differential equations which are used in the modelling. The payoff for BMW is that this reduces the costly process of building and testing physical models and trying to optimize the metal shape using a trial and error type method. This collaboration is the result of Pasqal’s selection as a winner of the BMW Group Quantum Computing Challenge late last year. Additional details about this collaboratoin is available in a news release provided by Pasqal and available here.

Terra Quantum and Volkswagen Data:Lab have published two joint research papers describing how hybrid quantum computing can be used in applications in optimization and machine learning. The first paper puts the focus on quality control testing in assembly line procedures. The second paper concentrates on machine learning to improve the accuracy of image recognition for fault detection in manufacturing. The white papers can be downloaded from Terra Quantum's white paper portal here.

May 12, 2022