IonQ and carmaker Hyundai are working together to test the performance of quantum computing in real-world object recognition.
Earlier this year, IonQ’s quantum technology had already been used to improve the efficiency and cost-effectiveness of Hyundai’s electric vehicle batteries. The two companies have decided to deepen their partnership to design safer autonomous vehicles.
Companies hope that applying quantum machine learning to in-vehicle computer vision systems will enable automated and human-controlled vehicles to better recognize objects on and near the road, for safety and security purposes. autonomous driving. The duo claim to have already classified 43 different types of road signs to recognize using quantum machine learning technology.
Detect potential dangers in the real world
The next phase of the collaboration will be to bring the quantum computer vision enhancements to Hyundai’s real-world test environment, to simulate various practical driving scenarios. The companies want to prove how applying quantum machine learning to computer vision systems can benefit both drivers and automated vehicles.
In the longer term, the two companies hope to apply quantum processing to help Hyundai’s systems recognize a wider variety of 3D objects and potential hazards, including new types of traffic signs, pedestrians and cyclists.
“Whether it’s a partnership for research on electric vehicle batteries or research on image classification and object detection for automated driving, we expect to see quantum computers play a role even more important in the development of new transportation solutions,” said Peter Chapman, President and CEO of IonQ.
IonQ plans to use its Aria quantum computer for the latter task, a 20-qubit algorithmic system that it calls “the most powerful quantum computer in the industry based on application-oriented industry standard benchmarks.”
Source: ZDNet.com