Objective
Information and communication technology (ICT) crucially relies on the combination of two highly complementary fields: Microelectronics, which excels in processing and storing information using CMOS circuits and photonics, which is key to fast and efficient transmission of information over large distances. Electrical-to-optical conversion in photonic integrated circuits is what links both fields. While efficient conversion from optical signals to electrical signals is straightforward even at a single-photon level, electrical-to-optical conversion represents a key challenge with respect to efficiency, bandwidth and noise. This challenge does not only affect optical communications, where efficient generation of broadband data signals is key, but also prevents photonic integrated circuits from unfolding their full impact in highly relevant emerging application fields such as microwave photonics, artificial intelligence or quantum technologies. ATHENS aims at overcoming this deficiency by establishing the foundations of a new class of photonic integrated systems that offer unprecedented electro-optic conversion performance. The project builds upon a synergistic selection of highly disruptive approaches on the material, process and device level, reaching from theory-guided engineering of organic electro-optic materials and novel crystal-on-insulator integration platforms to disruptive concepts for broadband optical on-chip amplifiers based on ion implantation or parametric interaction and to highly flexible photonic-electronic system-integration concepts based on additive nanofabrication. These technologies are combined on a system level, building a base for groundbreaking demonstrations in hyperscale communications, millimeter-wave signal processing and quantum technologies. The project is borne by an interdisciplinary and highly complementary team of scientist from organic chemistry, solid-state physics, quantum technologies and communications engineering.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencesphysical scienceselectromagnetism and electronicsmicroelectronics
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Keywords
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Topic(s)
Funding Scheme
HORIZON-ERC-SYG - HORIZON ERC Synergy GrantsHost institution
76131 Karlsruhe
Germany