Classiq collaborates with BMW Group and NVIDIA to optimize mechatronic systems
Classiq collaborates with BMW Group and NVIDIA to optimize mechatronic systems
The goal of this project is to enhance efficiency and reduce energy waste, which can result - among other things - in the increased efficiency of electric vehicles.
Israeli quantum computing startup Classiq announced on Thursday a collaboration with NVIDIA and the BMW Group to optimize mechatronic systems, marking a significant advance in the sophistication of quantum computing implementation in the automotive sector.
The initiative is focused on solving a complex computational challenge to find the optimal architecture of electrical and mechanical systems. This problem involves defining the optimal combination of components, from electrical engines and batteries to coolers, and how these should be connected. The goal of this project is to enhance efficiency and reduce energy waste, which can result - among other things - in the increased efficiency of electric vehicles.
The project resulted in the BMW Group’s quantum experts creating a highly sophisticated quantum program, with many quantum sub-routines. The implementation was enabled by the advanced modeling and compilation capabilities of the Classiq platform. The large and complex quantum circuit implementation was simulated using NVIDIA GPUs and the powerful NVIDIA CUDA-Q platform.
"This project exemplifies the power of collaboration in the quantum computing sphere. By bringing together the best of quantum hardware, software, and automotive domain expertise, we have achieved groundbreaking advancements in a remarkably short time," said Nir Minerbi, CEO of Classiq Technologies.
