Investigating the application of Quantum Machine Learning (“QML”) to improve the early detection of cancer via the use of AI classification methods for liquid biopsies.

Consortium: Applied Quantum Computing, Applied Quantum Computing, Royal Brompton and Harefield Hospital, Brunel University London, STFC Harwell, Digital Catapult, National Quantum Computing Centre (NQCC) 

The project is focused on the exploration of Quantum Machine Learning (QML) methods to improve and create novel faster and cheaper cancer diagnosis using liquid biopsies. The project aims to demonstrate a real world first step in clinical pathways towards exploring novel QML applications for multimodal approaches in healthcare.

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