Descrizione del progetto
La tecnologia quantistica migliora la lettura dei dati classici
I dati classici sono informazioni archiviate su un disco rigido, un CD-ROM o un’altra memoria digitale comune. Possono anche essere associati ad altri sistemi fisici, come la struttura di materiali biomedici. Il progetto QUARTET, finanziato dall’UE, consentirà di migliorare la lettura delle informazioni del computer, il riconoscimento di modelli e persino il rilevamento radar utilizzando complesse risorse e rilevatori quantistici. Il riconoscimento di modelli su base quantica potrebbe avere notevoli applicazioni a lungo termine in biologia e medicina. Esso ha le potenzialità per consentire l’analisi non invasiva di campioni biologici o tessuti umani molto fragili e riconoscere meglio i modelli nascosti associati alla crescita batterica o alle cellule cancerose. Inoltre, la creazione di un prototipo di radar quantistico funzionante potrebbe avere importanti applicazioni per il rilevamento, il tracciamento e altre tecnologie di sicurezza degli aeromobili.
Obiettivo
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.
Campo scientifico
- social sciencessociologysocial issuessocial inequalities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
- engineering and technologymedical engineeringdiagnostic imaging
Parole chiave
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-FETOPEN-2018-2019-2020-01
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
YO10 5DD York North Yorkshire
Regno Unito