Quemix and Nissan Launch Joint Research on Quantum Computer-Based Aerodynamic Simulation Software
Quemix and Nissan Motor have initiated joint research to develop next-generation aerodynamic analysis software using quantum computers. By creating a hybrid quantum-classical algorithm capable of handling complex vehicle shapes for Early-FTQC, they have successfully replicated high-precision results and filed a joint patent.
📋 Article Processing Timeline
- 📰 Published: June 1, 2026 at 22:09
- 🔍 Collected: June 1, 2026 at 13:20
- 🤖 AI Analyzed: June 1, 2026 at 18:18 (4h 58m after Collected)
Quemix, a subsidiary of TerraSky specializing in quantum computer algorithms and software, and Nissan Motor have begun joint research to develop next-generation aerodynamic analysis software utilizing quantum computing. The companies have developed a new quantum-classical hybrid algorithm capable of handling complex vehicle shapes, designed for execution on Early-Fault-Tolerant Quantum Computers (Early-FTQC). They have confirmed that this algorithm can reproduce high-precision results comparable to traditional classical computers in simulation and have filed a joint patent. To achieve carbon neutrality, improving aerodynamic performance is critical for enhancing fuel/energy efficiency and extending cruising range. While the Lattice Boltzmann Method (LBM) is currently the mainstream simulation technique, applying it to quantum computers has faced technical hurdles. Traditional quantum fluid algorithms often assume simplified spaces, making it difficult to incorporate boundary conditions for complex vehicle surfaces. In this joint research, the companies built a hybrid algorithm where classical computers handle calculations related to inflow/outflow and object movement, while quantum computers handle the core fluid calculations. This enables execution on resource-constrained Early-FTQC devices. Simulations using this algorithm on a quantum simulator confirmed high-precision results compared to classical methods. This technology is versatile and applicable to general fluid simulations involving complex shapes, such as in aviation, shipping, and architecture. Moving forward, the companies aim to commercialize this software and drive a paradigm shift in automotive computational technology. The results will be presented at 'Q2B 2026 Tokyo' on June 4-5, 2026.
FAQ
Why is Nissan investing in quantum technology?
To accelerate aerodynamic optimization for next-generation vehicles, aiming to improve energy efficiency and shorten development timelines.