The QML4Med research project aims to explore the potential of the promising fusion of quantum computing and machine learning in a medical context. While machine learning is already established as a valuable tool in medicine, quantum computing is still in an earlier phase of development. This project is funded by the Austrian Research Promotion Agency (FFG).
Using simulated and real quantum hardware, RISC Software GmbH will investigate three clinical use cases:
The analysis will focus on achieved model accuracies, the influence of noise, quantum encoding methods, and model explainability (explainable AI). QML4Med aims to identify promising categories of medical problems that could benefit from quantum machine learning using quantum algorithms and hardware expected to be available in the medium term.
In the long term, QML4Med will significantly shape the direction of subsequent R&D&I activities, strengthen (inter)regional cooperation with industry and research, and contribute to Austria’s technological sovereignty in the innovation field of quantum computing.
Schematic workflow in the QML4Med project
This project is funded by the FFG.
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