The partnership between Hyundai and IonQ produces a new result. The two companies have announced a new project aimed at applying quantum machine learning to image classification and 3D object detection for mobility, a fundamental step for the Korean company that aims to accelerate the transition to autonomous driving. Specifically, Hyundai’s goal is to broaden current work on traffic sign recognition to include other elements such as pedestrians or cyclists.
Through this new project, Hyundai and IonQ will seek to improve computational functionality through more efficient machine learning on quantum computers, thanks to their ability to process large amounts of data faster and with greater precision than traditional systems. The two companies will leverage a pioneering system in quantum-state image encoding developed by IonQ, which is already well advanced in classifying 43 types of road sign images using the company’s quantum processors, to apply machine learning data. of IonQ to Hyundai’s test environment and simulate various real-world scenarios. The result should allow more efficient processing at lower costsleading to the development of safer and smarter mobility in the future: with 20 algorithmic qubits, in fact, IonQ’s latest quantum computer, called Aria, is the most powerful in the industry based on benchmarks oriented to standard applications.
“We are thrilled to expand our partnership with Hyundai to focus on another key aspect of next-generation mobility – commented Peter Chapman, President and CEO of IonQ – From collaborating on battery research for electric vehicles to image classification and object detection research for automated driving, we expect to see quantum computers become an even more integral part in the development of new transport solutions ”.
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