English 
Quemix and Nissan Motor have started a joint research project, at developing next-generation aerodynamic analysis software powered by quantum computing. I mean, not just any software, the collaboration says they’ve already produced a new quantum-classical hybrid algorithm, which is able to handle complicated vehicle shapes, and this is being seen as a step toward something more practical for aerodynamic simulations on future quantum systems.
Improving aerodynamic performance keeps showing up as a big priority for automakers, you know, to get better fuel efficiency, lower energy consumption, and longer driving ranges. But still applying quantum computing to fluid dynamics has been very tricky, because classic quantum algorithms don’t really manage to represent well those complex curved surfaces and boundary conditions that show up in actual vehicle designs.
So, to work around that issue, the two companies came up with a hybrid approach that splits the workload, between classical and quantum computers. In other words, the tasks aren’t all shoved into one place, because that seems to be where the advantage is, even if it’s a bit messier than people expect at first. Classical systems handle calculations related to inflow, outflow, and object movement, while quantum systems perform the core fluid dynamics computations, including boundary processing for stationary objects. This design is intended to work on early fault-tolerant quantum computers with limited resources.
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Using a quantum simulator, the researchers managed to do aerodynamic simulations on real vehicle shapes, and in the end they confirmed results that look comparable to what conventional analysis does. The whole technology isn’t just for cars, it’s not limited to automotive, either, it could also back up fluid simulations across aviation, marine engineering, and construction industries.
クエミックス そして 日産 have jointly filed a patent application and plan to continue research with the goal of commercializing quantum-powered aerodynamic simulation software for future vehicle development.
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