Researchreinforcement learningspdcsatellite quantumquantum communication
Reinforcement Learning Optimizes Satellite Entanglement Recalibration
5.8
Relevance Score
On Jan. 23, 2026, researchers present two recalibration techniques for a PPLN-based SPDC entanglement source on satellites: a heuristic algorithm and a reinforcement-learning (RL) approach. In simulation, RL achieves AUC=0.9119 versus 0.7042 for the heuristic and reaches perfect alignment in 10 minutes compared with 30 minutes, operating within feasible satellite constraints and enabling scalable automated quantum links.
