Hyundai, IonQ Renew Partnership for Quantum Automotive Applications

Under the new agreement, Hyundai will use IonQ’s quantum computer to develop machine vision algorithms capable of conducting object detection on 3D data from autonomous vehicles.

They will also use quantum to simulate electrochemical reactions of different metal catalysts to develop more efficient and environmentally friendly electric vehicles (EVs).

Improved Object Detection

IonQ and Hyundai first collaborated on using

quantum for object detection

in April. They initially investigated using quantum machine learning techniques to image processing to detect and classify objects such as street signs.

The new joint research will look at using quantum algorithms to analyze spatial and environmental data from lidar and other sensors, to improve future vehicles’ identification and reaction to objects, people, and the surrounding environment.

According to IonQ,

They could also generalize better, learn from lower-resolution or noisy data, and capture complex correlations with fewer parameters than existing systems need. IonQ claims this could lead to autonomous vehicles being able to make quicker, safer and more accurate decisions without user input.

Better Batteries

Hyundai and IonQ are Also carrying out joint research using quantum algorithms to study lithium compounds and their chemical reactions in battery chemistry to improve charge and discharge cycles, durability, capacity and safety for EVs. This project was first announced in January.

Hyundai is now using the results of this research to expand its current scope into exploring new metal catalyst chemical reactions for future vehicles. This could lead to higher-performance EVs at reduced costs.

“IonQ’s continued work with Hyundai strengthens both our beliefs that quantum will drive the next phase of innovations throughout the automotive industry,” said IonQ co-founder and CTO Jungsang Kim.

“Autonomous vehicles are still in their infancy, yet the quantum-derived algorithms we’re testing today have the potential to shape the commerciality, efficiency and safety of such systems.”