RISC Software GmbH has given the go-ahead for a pioneering research project: QML4Med. The project aims to explore the enormous potential of combining quantum computing and machine learning in the medical field.
While machine learning is already widely used in medicine, quantum computing is still at the beginning of its development. Despite the availability of the first quantum computers, there are still significant challenges in terms of performance and accuracy. QML4Med addresses these challenges and investigates how quantum machine learning can be used in real medical applications with real data.
The project focuses on three specific clinical use cases:
By analyzing on both simulated and real quantum hardware, the achieved model accuracies as well as the influence of noise, quantum coding methods and the explainability of the models are investigated.
QML4Med is intended to determine the direction of future research, development and innovation activities in the long term, strengthen cooperation with industry and research and make a significant contribution to Austria’s technological sovereignty in the field of quantum computing.
This pioneering project is funded by the FFG Österreichische Forschungsförderungsgesellschaft mbH.
Project team from left to right: Wolfgang Fenz, Philipp Moser, Michael Giretzlehner, Alexander Maletzky, Sophie Kaltenleithner
