📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Quantum Algorithms for Cognitive Healthcare

Lead Participant: SIEMENS HEALTHCARE LIMITED

Abstract

The healthcare industry is experiencing an explosion of data and at the same time the cost of healthcare is rising. Cognitive computing in healthcare is using big data in conjunction with advanced machine learning and supercomputers/cloud services to help doctors detect diseases earlier, improve therapeutic outcomes and ultimately reduce the cost of care. In this feasibility study we will investigate the use of quantum machine learning algorithms to improve cognitive computing in healthcare. Algorithms running on quantum processors have the potential to perform extremely fast calculations to solve problems that are computationally intractable with classical computers. This offer significant potential when extracting meaningful, decision level information from from medical images.

Lead Participant

Project Cost

Grant Offer

SIEMENS HEALTHCARE LIMITED £207,954 £ 103,977
 

Participant

UNIVERSITY COLLEGE LONDON £105,192

People

ORCID iD

Publications

10 25 50