Hyundai, IonQ use quantum computing for object recognition
According to researchers, the classification of images into a certain category and 3D object recognition are fundamental steps on the way to the next generation of mobility solutions, especially autonomous vehicles. Hyundai and IonQ are jointly trying to improve the computational functionality of quantum computers through more efficient machine learning, as they can process enormous amounts of data faster and – it is hoped – more accurately than classical systems.
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IonQ has made a breakthrough in encoding picture elements into quantum states by using quantum processors to already classify 43 types of road signs. In the next phase of the project, both companies will apply the data obtained from IonQ’s machine learning processes to Hyundai’s test environment and simulate various real-world scenarios. IonQ CEO Peter Chapman foresees important tasks for quantum computers in the development of novel applications in mobility. The spectrum of possible applications ranges from battery development for electric vehicles to research into image classification and object recognition for automated driving, Chapman said. For example, in addition to developing quantum technologies for the challenging task of 3D object recognition such as road signs, Hyundai and IonQ will also aim to recognise pedestrians and cyclists as part of this project.
Object recognition uses IonQ’s latest quantum computer, IonQ Aria, which enables more efficient processing at lower cost and contributes to the development of safer, smarter mobility solutions in the future. With 20 algorithmic qubits, the manufacturer claims the number one spot for the Aria in the ranking of the most powerful quantum computers in the industry. The ranking will be based on application-oriented standard benchmarks, it says.
Hyundai Motor and IonQ have already entered into a strategic partnership in January 2022. This project will use quantum computing to significantly improve the quality of next-generation lithium batteries by optimising their charge and discharge cycles, durability, capacity and safety. In addition, the partnership lays the foundation for the development of more efficient batteries by being able to simulate and control the chemical reactions more accurately. From this research project, the partners hope to identify new types of starting material that will save time, cost and effort in the years to come. This would be an important advance, as batteries are usually the most expensive component of an electric vehicle (BEV).
IonQ was founded in 2015 by Christopher Monroe and Jungsang Kim. The company offers – as the only one in the industry – its quantum systems via the cloud on Amazon Braket, Microsoft Azure and Google Cloud as well as via direct API access.
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