Stabilizing Coherently Combined Beam Power using a Robust Learning Algorithm

A machine-learning phase stabilizer for 8-beam diffractive coherent combination controls output power to < 0.4% RMS, using interference pattern recognition. The learning neural network is trained while combiner phases drift, using a two-state dither scheme.