QUEST-6G (INTEGRATING QUANTUM AI AND RECONFIGURABLE INTELLIGENT SYSTEMS IN 6G NETWORKS)
Project Overview
QUEST-6G aims to design, develop, and validate a multifunctional 6G radio access network framework that integrates extra-large antenna arrays, reconfigurable intelligent systems, and mid-band (FR3) operation with hybrid NF/FF beamforming, joint communication–sensing–power transfer, and quantum/AI-native control. By combining hardware–software co-design with quantum optimization and AI-driven intent-based management, QUEST-6G will unlock new levels of spectral efficiency, coverage, reliability, and security, delivering future-proof 6G capabilities validated through large-scale experiments and PoC demonstrations. In a pioneering move, quantum optimization and QML will be exploited to address the combinatorial complexity of RAN resource allocation, beamforming/beamfocusing, and scheduling, while quantum-inspired computing approaches will provide real-time, scalable solutions for multi-objective performance trade-offs.
