The project tackles key inefficiencies in information reconciliation, particularly the high computational complexity and limited error correction capacity of MET-LDPC decoding. It introduces a novel QNN-enhanced reconciliation framework that incorporates optimized error correction techniques, efficient check matrix structures, and FPGA-based real-time implementation to significantly improve performance.

The research outcomes demonstrate over 93% reconciliation efficiency, a reduction in frame error rates by at least 20%, a 30–40% improvement in secret key rates, and a 50% increase in computational efficiency. These advancements contribute toward the development of a scalable and secure quantum communication system for NextG networks. The project aligns with national priorities in cybersecurity and quantum technology, while generating high-impact intellectual property (IP) for Malaysia