In a major step toward quantum-aware embedded systems, the R&D team at Incarnet Mathematical Modelling has successfully ported a custom multi-valued logic neural network—based on the recently introduced class F\mathcal{F}—to a quantum-ready FPGA platform. The implementation excludes majority and choice functions, enabling lower noise sensitivity and faster logic evaluation. This prototype paves the way for efficient signal classification in low-power, latency-sensitive environments, such as IoT and nanosatellite communication systems.
Transforming Networks. Connecting the Future.