Project description DEENESFRITPL 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. Show the project objective Hide the project objective Objective The general aim of this proposal is to exploit quantum information to develop new powerful methods for the retrieval and recognition of classical data from physical systems. More precisely, we aim at showing a substantial quantum-enhancement in several fundamental tasks: (1) the readout of classical data from digital memories (quantum reading); (2) the recognition of classical patterns (quantum pattern recognition); (3) the optical measurement of concentration in fragile biomedical samples (quantum bio-probing); and (4) the microwave detection of target objects (microwave quantum illumination or quantum radar). These objectives are realized starting from the optimization of a general theoretical model at their basis: quantum channel discrimination. This is then developed into technical aspects which directly support our experimental proof-of-principle demonstrations.Our experimental prototypes could open the way to much more powerful and radically new forms of information and detection technologies, with direct benefit for science and the wider society. Thanks to the superior performances in the low energy regime, quantum reading may increase data-transfer rates and storage capacities of current digital memories by orders of magnitude. Quantum pattern recognition could have remarkable long-term applications in biology and medicine, in terms of non-invasive analysis of very fragile biological samples or human tissues, and better recognizing hidden patterns associated to bacterial growths or cancerous cells. Such results could provide future non-invasive techniques of medical imaging for private and public hospitals. Finally, the realization of a working prototype of a quantum radar may have non-trivial applications for the European security technology. Fields of science social sciencessociologysocial issuessocial inequalitiesengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradarnatural sciencescomputer and information sciencesartificial intelligencepattern recognitionengineering and technologymedical engineeringdiagnostic imaging Programme(s) H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET) Main Programme H2020-EU.1.2.1. - FET Open Topic(s) FETOPEN-01-2018-2019-2020 - FET-Open Challenging Current Thinking Call for proposal H2020-FETOPEN-2018-2020 See other projects for this call Sub call H2020-FETOPEN-2018-2019-2020-01 Funding Scheme RIA - Research and Innovation action Coordinator UNIVERSITY OF YORK Net EU contribution € 563 577,50 Address Heslington YO10 5DD York north yorkshire United Kingdom See on map Region Yorkshire and the Humber North Yorkshire York Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 100,00 Participants (6) Sort alphabetically Sort by Net EU contribution Expand all Collapse all UNIVERSITA DEGLI STUDI DI CAMERINO Italy Net EU contribution € 306 250,00 Address Piazza cavour 19f 62032 Camerino See on map Region Centro (IT) Marche Macerata Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 DANMARKS TEKNISKE UNIVERSITET Denmark Net EU contribution € 511 616,25 Address Anker engelunds vej 101 2800 Kongens lyngby See on map Region Danmark Hovedstaden Københavns omegn Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 NKT PHOTONICS A/S Denmark Net EU contribution € 151 156,25 Address Blokken 84 3460 Birkerod See on map Region Danmark Hovedstaden Nordsjælland Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 ISTITUTO NAZIONALE DI RICERCA METROLOGICA Italy Net EU contribution € 325 000,00 Address Strada delle cacce 91 10135 Torino See on map Region Nord-Ovest Piemonte Torino Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA Austria Net EU contribution € 388 088,75 Address Am campus 1 3400 Klosterneuburg See on map Region Ostösterreich Niederösterreich Wiener Umland/Nordteil Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 AALTO KORKEAKOULUSAATIO SR Finland Net EU contribution € 406 182,50 Address Otakaari 1 02150 Espoo See on map Region Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00