Obiettivo Reaching a fundamental understanding of quantum many-body systems and fully harnessing their computational power for information processing is one of today’s greatest scientific challenges. To date, unprecedented research efforts are underway to build quantum devices, which would outperform the most powerful classical computers. At the same time, neural networks are currently revolutionising the handling of large amounts of data, with enormous success in pattern and speech recognition, machine learning, the analysis of ‘big data’ and ‘deep learning’. Driven by the hope of combining massive parallel information processing in neural networks with quantum advantages like computational speedup, there have been various efforts to develop quantum neural networks – without satisfactory answers to date. The overarching goal of this theoretical research programme is to tackle this enormous challenge from a fresh perspective: we will establish and explore a conceptual framework for quantum neural networks and identify quantum optical physical building blocks, based on concepts in the domain of open many-body quantum systems. This ambitious aim will be achieved by interlinking a multitude of scientific areas ranging from atomic physics, quantum optics, quantum engineering and condensed matter physics to quantum information and computer science. This research will not only generate a genuine step change in our fundamental understanding of the ways nature allows for quantum information processing. It will also lay the foundation for quantum neuromorphic engineering of a new generation of quantum neural hardware in state-of-the-art and newly emerging experimental systems of ultra-cold atoms and trapped ions. With my interdisciplinary background in quantum information and quantum engineering, quantum optics and atomic physics, I am in a unique position to successfully realise this research. I will also strongly benefit from the vital scientific environment at Swansea University. Campo scientifico natural sciencesphysical sciencesatomic physicsnatural sciencesphysical sciencesopticsnatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learningnatural sciencesphysical sciencesquantum physicsquantum opticsnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programma(i) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Argomento(i) ERC-2018-STG - ERC Starting Grant Invito a presentare proposte ERC-2018-STG Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-STG - Starting Grant Istituzione ospitante FORSCHUNGSZENTRUM JULICH GMBH Contribution nette de l'UE € 1 486 439,00 Indirizzo WILHELM JOHNEN STRASSE 52428 Julich Germania Mostra sulla mappa Regione Nordrhein-Westfalen Köln Düren Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 486 439,00 Beneficiari (2) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto FORSCHUNGSZENTRUM JULICH GMBH Germania Contribution nette de l'UE € 1 486 439,00 Indirizzo WILHELM JOHNEN STRASSE 52428 Julich Mostra sulla mappa Regione Nordrhein-Westfalen Köln Düren Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 486 439,00 SWANSEA UNIVERSITY Partecipazione conclusa Regno Unito Contribution nette de l'UE € 0,00 Indirizzo SINGLETON PARK SA2 8PP Swansea Mostra sulla mappa Regione Wales West Wales and The Valleys Swansea Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale Nessun dato