Abstract
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.
© 2021 The Author(s)
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