Project description DEENESFRITPL First steps towards high-speed Space communication Free-space optical communication technology uses light propagating in free space to wirelessly transmit data for telecommunications or computer networking. The EU-funded QuaIL project will investigate how to build a complex decoder for long-distance communication in free space by combining optical gates, photodetectors and quantum neural networks. It will also explore how machine learning can benefit quantum technology. This is an emerging interdisciplinary research area that has not yet seen widespread commercial applications. The ultimate aim is to develop systems that will enable high data rates between Earth and Space. Show the project objective Hide the project objective Objective This project aims at developing efficient, scalable and near-term-implementable decoders for long-distance communication on free-space or optical-fiber quantum channels. It is a timely proposal for the establishment of high-data-rate space communication and secure fiber communication. Its importance is recognized in the strategic quantum communication pillar of the EU Flagship on Quantum Technologies. In this setting, the main obstacle towards implementations is a joint quantum measurement, impossible with current technology. This project will investigate how to build a complex decoder by combining simple optical gates and photodetectors, augmented by a classical neural network that controls the quantum parameters and post-processes the measurement data. Moreover, it investigates the power of machine learning for quantum technologies, a very recent interdisciplinary field that still lacks killer applications. The applicant has a PhD and several excellent publications on the subject, while the host group comprises world-leading experts in quantum information theory and pioneers in the application of statistical-inference methods to it. Hence he is in the best position to carry out the project and become an established researcher, who will be acknowledged for his inter-disciplinary expertise and his contribution to an outstanding technological problem. The scientific part of the project is complemented with a well-balanced training program: advanced training-through-research, participation to a machine-learning school, transferable-skills for career development. The researcher will engage in teaching to undergraduate students, the organization of seminars and of a machine-learning reading club. Potential exploitation of the results will take place at a quantum industry day and hackathon. Moreover, outreach events will include an original proposal for the realization of a tape-art exhibition explaining quantum-mechanics by representing quantum-technological protocols. Fields of science engineering and technologymaterials engineeringfibersengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensorsnatural sciencesphysical sciencesquantum physicsnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2018 - Individual Fellowships Call for proposal H2020-MSCA-IF-2018 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator UNIVERSITAT AUTONOMA DE BARCELONA Net EU contribution € 160 932,48 Address Edif a campus de la uab bellaterra cerdanyola v 08193 Cerdanyola del valles Spain See on map Region Este Cataluña Barcelona 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
