SOURCE-LINKED INTELLIGENCE

AI-ENHANCED PHOTONIC QUANTUM NODES FOR SECURE COMMUNICATIONS

CORDIS · observation · Publication date unknown

unications. The project addresses two critical barriers to the widespread deployment of Quantum Key Distribution (QKD) environmental drift and reliance on manual calibration. By embedding lightweight artificial intelligence models into Photonic Integrated Circuit (PIC)-based QKD systems, deployable on FPGA platforms, QPIC-AI will enable autonomous, self-calibrating quantum modules capable of maintaining stability in real-world conditions. The project will co-design thin-film LiNbO₃ transmitter and receiver PICs with integrated dynamic polarization control, implement FPGA-based BB84 QKD prototypes, and deploy embedded AI for predictive drift compensation and closed-loop control. The resulting systems will be validated across operational testbeds in Europe and South Korea, demonstrating stable key exchange, reduced downtime, and improved error performance. In parallel the consortium will contribute to international standards bodies (ETSI, ITU-T, ISO/IEC, CEN-CENELEC) and deliver a joint EU–ROK Certification Gap Report, supporting convergence of certification frameworks. Expected outc

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recordType

award

status

SIGNED

region

EU

value

2699283

unit

EUR