Hyundai Expands Partnership With IonQ To Use Quantum Computing For Object Detection

Dustin Hawley | Apr 25, 2022

This week, Hyundai announced an expanded partnership with IonQ, an industry leader in quantum computing, on a brand new project focused on applying quantum machine learning to image classification and 3D object detection. The expansion is just the latest initiative between Hyundai and IonQ, fresh on the heels of a January announcement that the two entities had joined forces to use quantum computers in improving the cost, performance, and safety of lithium batteries for electric vehicles.

In many ways, the future of driving and mobilities will incorporate image classification and 3D object detection. These components can process immense amounts of data faster and more accurately than traditional systems. Both Hyundai and IonQ seek to improve computational functionality through more efficient machine learning on quantum computers.

Hyundai and IonQ

IonQ recently made a breakthrough in encoding images into quantum states, already well underway in classifying road signs, with 43 types recognized using IonQ’s quantum processors. The next phase for both Hyundai and IonQ will apply the latter’s machine learning data to Hyundai’s test environment and simulate a multitude of real-world scenarios.

“We are excited to expand our existing relationship with Hyundai Motor to focus on another key aspect of next-generation mobility,” said Peter Chapman, President and CEO of IonQ. “From partnering 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 developing novel transportation solutions.”

Hyundai and IonQ will also look to develop quantum techniques for the extensive task of 3D object detection. This project will act as an expansion of the current work, which is to include other objects like pedestrians or cyclists into the road sign recognition engine. IonQ’s latest quantum computer, IonQ Aria, will run the object recognition tasks and allow for more efficient processing at reduced costs, leading to the development of smarter, safer travels in the near future.

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