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Project

Hyundai began using quantum technologies so that cars can better recognize objects on the road

Customers: Hyundai Motor Company and Kia Motors Corporation

Mechanical and Instrument Engineering

Contractors: IonQ


Project date: 2022/04

Content

History

2022: The beginning of the use of quantum technologies in Hyundai cars

On April 19, 2022, IonQ announced the expansion of cooperation with the automaker Hyundai, in which it will use its quantum computing technology so that Hyundai cars can better recognize real objects.

This partnership is a continuation of the existing relationship that began in early 2022, when quantum technologies were IonQ used to increase the efficiency and profitability of Hyundai electric vehicle batteries. Companies hope that the use of quantum machine learning in automotive computer vision systems will allow both automated and human-controlled cars to better recognize objects on and near the road for safety and autonomous driving. Representatives of the companies claim that they have already classified 43 different types of road signs for their recognition using quantum machine learning technology.

The next stage of cooperation will be aimed at introducing computer vision improvements based on quantum learning in the real-world testing conditions of Hyundai in order to simulate various practical driving scenarios. Companies hope that this phase will show how the use of quantum machine learning in computer vision systems can benefit both drivers and automated vehicles.

In the future, companies expect to use quantum technologies to help Hyundai systems recognize a wider range of 3D objects and potential hazards, including new types of road signs, pedestrians and cyclists. IonQ President and Chief Executive Officer Peter Chapman, said that from partnering in battery research for electric vehicles to classifying images and detecting objects for automated driving, we expect quantum computers to become an even more integral part in developing new transportation solutions.

IonQ plans to use its quantum Aria computer for this task, a system with 20 algorithmic qubits, which the company calls the most powerful quantum computer in the industry, based on standard industrial standards focused on applications.[1]

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