COLLEGE PARK, Md.–(BUSINESS WIRE)–April 19, 2022–
IonQ (NYSE: IONQ), a leader in quantum computing, and Hyundai Motor Company today announced a new project designed to apply quantum machine learning to image classification and 3D object detection for future mobility.
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Image classification and 3D object detection are fundamental steps towards the next generation of mobility, including autonomous vehicles. Together, IonQ and Hyundai will seek to improve computational capabilities through more efficient machine learning on quantum computers, as they can process huge amounts of data faster and more accurately than conventional systems.
Using a breakthrough in encoding images into quantum states, IonQ is already well advanced in classifying 43 traffic sign types using IonQ’s quantum processors. The next phase will see the two companies apply machine learning data from IonQ to Hyundai’s test environment and simulate various real-world scenarios.
“We are delighted to extend 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 research on image classification and object detection for automated driving, we expect to see quantum computers become an even more integral part of the development of new transportation solutions.
In this project, IonQ and Hyundai will seek to develop quantum techniques for the broad task of 3D object detection, expanding ongoing work on road sign recognition to include other objects such as pedestrians or cyclists. Running object recognition tasks on IonQ’s latest quantum computer, IonQ Aria, is expected to enable more efficient processing at lower cost, leading to the development of safer and smarter mobility in the future. With 20 Algorithmic Qubits (#AQ), IonQ Aria is the industry’s most powerful quantum computer based on application-oriented industry standard benchmarks.
Today’s news also marks the latest move between IonQ and Hyundai Motor, following the announcement in January that the two companies have partnered to use quantum computers to improve performance, cost and safety. lithium batteries for electric vehicles.
IonQ, Inc. is a leader in quantum computing, with a proven track record in innovation and deployment. IonQ’s next-generation quantum computer, IonQ Aria, is the most powerful quantum computer in the world, and IonQ has defined what it believes is the best way to evolve.
IonQ is the only company whose quantum systems are available through the cloud on 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 pioneering research. To find out more, visit www.ionq.com.
About Hyundai Motor Company
Founded in 1967, Hyundai Motor Company offers a range of world-class vehicles and mobility services in more than 200 countries. Hyundai Motor sold more than 4.4 million vehicles globally in 2019 and currently employs some 120,000 people worldwide.
The company enriches its product range with vehicles designed to contribute to a more sustainable future, while offering innovative solutions to real-world mobility challenges. Through this process, Hyundai aims to facilitate “progress for humanity” with smart mobility solutions that energize connections between people and provide quality time for its customers.
For more information about Hyundai Motor and its products, please visit: http://worldwide.hyundai.com or http://globalpr.hyundai.com.
IonQ Forward-Looking Statements
This press release contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Some of the forward-looking statements can be identified by the use of forward-looking terms. Statements that are not historical in nature, including the words “anticipate”, “expect”, “suggest”, “plan”, “believe”, “intend”, “estimate”, ” target”, “project”, “should”, “could”, “could”, “could”, “will”, “plan” and other similar expressions are intended to identify forward-looking statements. These statements include those related to the expected benefits of the partnership, including the expected ability of the Quantum-based machine learning solution to significantly improve the quality of image classification and object recognition and the research potential of IonQ. and Hyundai to come up with new types of algorithms that save time and costs in the years to come, and lead to safer and smarter vehicles; IonQ’s ability to develop and advance its quantum computers and achieve scale; the market opportunity and anticipated growth of IonQ; and the business benefits for customers of using quantum computing solutions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, therefore, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements contained in this press release, including, but not limited to: market adoption of quantum computing solutions and products, IonQ services and solutions; IonQ’s ability to protect its intellectual property; changes in the competitive industries in which IonQ operates; changes in laws and regulations affecting IonQ’s business; IonQ’s ability to implement its business plans, forecasts and other expectations, and to identify and realize additional partnerships and opportunities; and the risk of market and technology industry downturns, including, but not limited to, due to the COVID-19 pandemic. The foregoing list of factors is not exhaustive. You should carefully consider the foregoing factors and the other risks and uncertainties described in the “Risk Factors” section of IonQ’s Annual Report on Form 10-K for the fiscal year ended December 31, 2021 and other filings by IonQ from time to time with the Security and Exchange Commission. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to place undue reliance on any forward-looking statements, and IonQ undertakes no obligation and does not intend to update or revise any such forward-looking statements, whether as a result of new information, future events or otherwise. IonQ does not guarantee that it will meet its expectations.
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PUBLISHED: 04/19/2022 08:00 / DISK: 04/19/2022 08:02