Hyundai Motor and IonQ, a company in the field of quantum computing, are expanding their partnership with a new project. The focus is on the recognition and classification of 3D objects for future mobility solutions. IonQ is a computer hardware and quantum software company based in College Park, Maryland. The company manufactures a computer with a general quantum purpose and an embedded ion program to create, improve and implement quantum cycles.. IonQ is the only company that delivers its quantum systems via the cloud to Amazon Braket, Microsoft Azure and Google Cloud as well as through direct API access. IonQ was founded in 2015 by Christopher Monroe and Jungsang Kim based on 25 years of research.
Sign recognition is just the beginning
Image classification in a specific unit and 3D object recognition are the basic steps towards the next generation of mobility solutions, especially autonomous vehicles. Hyundai and IonQ are jointly trying to improve the computational performance of quantum computers through more efficient machine learning. These can process large amounts of data faster and more accurately than older systems.
IonQ has achieved success in encoding image elements in quantitative conditions, using quantum processors to classify 43 types of street signs. In the next phase of the project, both companies will use data obtained from IonQ machine learning processes on Hyundai’s experimental bed and simulate a variety of real-world situations.
“We are excited to expand our existing partnership with Hyundai Motor and focus on another important aspect of future mobility,” said Peter Chapman, President and CEO of IonQ. “From collaborating in the development of batteries for electric vehicles to discovering image classification and object recognition for automated operation, we expect the computing computer to become the most important component in the development of new transportation solutions.”
Pedestrians and cyclists are also recognized
As part of this project, Hyundai and IonQ will develop quantum technology for challenging 3D object recognition tasks such as eg B. Road signs also aim to identify pedestrians and cyclists. Object recognition uses IonQ’s latest computer, IonQ Aria, which enables better processing at a lower cost and contributes to the creation of safer and better mobility solutions in the future. With 20 algorithmic qubits (the smallest computer processing and information unit), IonQ Aria is the most powerful quantum computer in the industry, according to standard operating parameters.
Battery technology should be affordable through quantum computer simulation
In January 2022, Hyundai Motor and IonQ entered into a strategic partnership. This aims to use quantum computing to significantly improve the quality of next-generation lithium batteries by improving the charging and charging cycles of the device, durability, capacity and safety. The integration also lays the foundation for better battery design by allowing chemical reactions to be copied and controlled more accurately. This research has the potential to lead to new types of feed that will save time, money and effort in the coming years – an important development given that batteries are often the most expensive part of an electric vehicle (BEV).
What does that mean?
Cars are increasingly becoming computerized. In the future, the capabilities of hardware and software will definitely determine the success of automotive groups. Hyundai has set standards through its own research, but also through smart collaboration or grabbing (eg Boston Dynamics).