Image classification and 3D object detection are foundational steps toward the next generation of mobilities, including autonomous vehicles. Together, IonQ and Hyundai will look to improve computational functionality through more efficient machine learning on quantum computers, as they can process enormous amounts of data faster and more accurately than classical systems.
Using a breakthrough in encoding
images into quantum states, IonQ is already well underway in classifying
43 types of road signs using IonQ’s quantum processors. The next phase
will see the two companies apply IonQ’s machine learning data to
Hyundai’s test environment and simulate various real-world scenarios.
As
part of this project, IonQ and Hyundai will look to develop quantum
techniques for the broad task of 3D object detection, expanding the
current work on recognizing road signs to include other objects like
pedestrians or cyclists. Running object recognition tasks on IonQ’s
latest quantum computer, IonQ Aria, should enable more efficient
processing with lower costs, leading to the development of safer, more
intelligent mobilities in the future. With 20 algorithmic qubits (#AQ),
IonQ Aria is the industry’s most powerful quantum computer based on
standard application-oriented industry benchmarks.
Today’s news
also marks the latest initiative between IonQ and Hyundai, following a
January announcement that the two companies had partnered to use quantum
computers in improving performance, cost and safety of lithium
batteries for EVs.
