Objective
Recent advancements in terahertz (THz) technology have unlocked the po-tential for ultra-high-speed wireless communication, with data rates far sur-passing those of current 5G systems. Operating in the 300-600 GHz range, future 6G systems could enable wireless transmission rates of up to 1000 gi-gabits-per-second, revolutionizing applications like metropolitan networks and uncompressed video transfer. However, current THz technologies face challenges, especially in demodulating high-frequency signals. Existing la-boratory solutions rely on bulky, expensive electronics with limited band-width, high noise, and non-linearity, hindering the scalability of THz com-munication.
In this project, we propose developing an on-chip topological coherent de-modulator for THz signals using topological photonic crystals, which ex-hibit robust, low-backscattering wave propagation. Leveraging the valley Hall effect in photonic crystals, the device will feature waveguides, beamsplitters, mixers, and balanced detection outputs, integrated on a silicon chip. This all-optical architecture offers a significant improvement over tra-ditional electronics-based systems, with a target demodulation bandwidth over 50 GHz for signals at 300 GHz.
The proposed solution will address key bottlenecks in current THz technolo-gy, including size, bandwidth, and signal-to-noise ratio. As one of the first functional on-chip demodulators for THz frequencies, this device sets a new standard for future applications. Its compact design, scalability, and en-hanced performance position it as a key enabler for 6G wireless systems, driving ultra-fast data transfer for real-world use cases.
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. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC-POC - HORIZON ERC Proof of Concept GrantsHost institution
75794 Paris
France