Classiq Technologies, NVIDIA, and BMW Group have collaborated to optimize mechatronic systems using quantum computing, aiming to increase efficiency and reduce energy waste in the automotive sector. The project focused on finding the optimal architecture of electrical and mechanical systems, potentially improving the efficiency of electric vehicles. Classiq’s quantum algorithms, including the Quantum Approximate Optimization Algorithm (QAOA) and the Harrow-Hassidim-Lloyd (HHL) algorithm, were used in the project. The collaboration resulted in a complex quantum program, simulated using NVIDIA GPUs and the NVIDIA CUDA-Q platform. The technology is still developing, with further work needed to bring the solution to industrial applicability.
Quantum Computing in Automotive Engineering: A Collaboration between Classiq, BMW Group, and NVIDIA
Classiq, a leading quantum software company, has announced a collaboration with NVIDIA and the BMW Group. The partnership aims to optimize mechatronic systems, a significant step forward in the application of quantum computing in the automotive industry. The project focuses on a complex computational challenge: finding the optimal architecture of electrical and mechanical systems. This involves determining the best combination of components, such as electrical engines, batteries, and coolers, and how they should be interconnected. The ultimate goal is to enhance efficiency and reduce energy waste, potentially leading to increased efficiency in electric vehicles.
Classiq’s approach to this problem involves the use of advanced quantum algorithms, including the Quantum Approximate Optimization Algorithm (QAOA) and the Harrow-Hassidim-Lloyd (HHL) algorithm. The latter leverages amplitude and digital encoding to efficiently solve and convert complex linear equations, utilizing a novel Quantum Analog to Digital Conversion (QADC) process.
Quantum Algorithms and Their Application in Automotive Engineering
The application of quantum algorithms in this project demonstrates how cutting-edge technology can address complex problems in automotive engineering. The QAOA and HHL algorithms, in particular, have shown promise in solving the computational challenge of optimizing the architecture of electrical and mechanical systems. The HHL algorithm, which uses amplitude and digital encoding, has been particularly effective in solving and converting complex linear equations through a novel QADC process.
The project resulted in the creation of a highly sophisticated quantum program by the BMW Group’s quantum experts. This program, which includes many quantum sub-routines, is among the most complex quantum programs implemented to date. The implementation was made possible 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.
The Role of Collaboration in Quantum Computing
The collaboration between Classiq, NVIDIA, and the BMW Group exemplifies the power of partnership in the quantum computing sphere. By combining the best of quantum hardware, software, and automotive domain expertise, the team has achieved significant advancements in a remarkably short time.
NVIDIA’s quantum stack played a crucial role in simulating the complex algorithm, facilitating its detailed testing and refinement. The collaboration is pushing the boundaries of quantum simulation and helping to usher in an era of useful quantum computing.
The Future of Quantum Computing in the Automotive Industry
Despite the significant advancements made in this project, quantum computing is still a nascent technology. Further effort is required to bring the developed solution to industrial applicability. Classiq and its collaborators continue to develop the interface between automotive technology and quantum computing by expanding the boundaries of quantum design, implementation, and computation.
Classiq Technologies provides an all-encompassing platform for quantum computing, from algorithm design to execution. The high-level descriptive quantum software development environment is tailored to all levels of developer proficiency and automates quantum programming. This allows a broad range of talents, including those with backgrounds in AI, ML, and linear algebra, to harness quantum computing without requiring deep, specialized knowledge of quantum physics. Classiq’s core technology, algorithmic quantum circuit compilation, is engineered to power the quantum ecosystem of today and the future. The company works closely with quantum cloud providers and advanced computation hardware developers, providing software for use with quantum computers, HPC, and quantum simulators.
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