Quantum Sensor Technology and Artificial Intelligence

“The onset of climate change and widespread geopolitical conflicts and social inequalities showcase the need for innovation and change that require a better world.” 

With the A-IQ Ready project (Artificial Intelligence Using Quantum Measured Information for Realtime Distributed Systems at the Edge) 50 project partners (including Offenburg University) from 15 countries have joined forces to tackle the problems of the present and the future on a broad front. Equipped with cutting-edge technologies such as quantum sensors and artificial intelligence, the project partners are working on innovative methods in eight supply chains to overcome the challenges of the future.

As part of the "Propulsion Health and Availability in Safety-Critical Situations" supply chain, Offenburg University is researching neural networks and machine learning methods to make the electromobility of the future safer: The development of novel quantum sensor technology will provide insights into the physical behavior of highly loaded electric motors that were previously hidden from researchers and engineers. The aim is to gain a better understanding of the physical behavior of the motor in the event of a fault and to make statements about the state of health (SOH) and the probability of an imminent failure. As the exact data correlations are difficult to comprehend, neural networks are trained at the University to acquire the behavior of the engine on the basis of the sensor data described above. This will create a digital image of the engine that can subsequently be used to detect anomalies during the operation of the real engine and to estimate their causes and error potential.

Funding

A-IQ READY receives funding within the Key Digital Technologies Joint Undertaking (KDT JU) – Public-Private Partnership for research, development and innovation under Horizon Europe – and National Authorities under grant agreement no. 101096658.

Partner institutions

50 project partners from 15 European countries

Project duration

February 2023 to January 2026