Project description
Quantum technology improves readout of classical data
Classical data is information stored on a hard-drive, CD-ROM or other common digital memory. It can also be associated with other physical systems, such as the structure of biomedical materials. The EU-funded QUARTET project will enable improved computer information readout, pattern recognition and even radar detection using complex quantum resources and detectors. Quantum-enhanced pattern recognition could have remarkable long-term applications in biology and medicine. It has the potential to enable non-invasive analysis of very fragile biological samples or human tissues, and better recognise hidden patterns associated with bacterial growth or cancerous cells. In addition, the creation of a working quantum radar prototype could have major applications for aircraft detection, tracking and other security technology.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
- engineering and technologymedical engineeringdiagnostic imaging
Programme(s)
Call for proposal
H2020-FETOPEN-2018-2019-2020-01
See other projects for this call
Funding Scheme
RIA - Research and Innovation action
Coordinator
YO10 5DD York North Yorkshire
United Kingdom
Participants (6)
62032 Camerino
2800 Kgs Lyngby
3460 Birkerod
10135 Torino
3400 Klosterneuburg
02150 Espoo