Experimental beam combining stabilization using machine learning trained while phases drift
Qiang Du, Dan Wang, Tong Zhou, Antonio Gilardi, Mariam Kiran, Bashir Mohammed, Derun Li, Russell Wilcox
Abstract
An 8-beam, diffractive coherent beam combiner is phase controlled by a learning algorithm trained while optical phases drift, using a differential mapping technique. Combined output power is stable to 0.4% with 95% of theoretical maximum efficiency, limited by the diffractive element.
Topics & Concepts
OpticsBeam (structure)Computer sciencePhase (matter)Phase retrievalPower (physics)PhysicsArtificial intelligenceDiffractionDifferential phaseLaser beamsLight beamDifferential (mechanical device)Phase modulationAlgorithmMachine visionStability (learning theory)Fresnel diffractionPtychographyImage processingBeam splitterSpatial frequencyPhysical opticsMargin (machine learning)Signal processingMaterials scienceOptical powerPhotorefractive and Nonlinear OpticsAdvanced X-ray Imaging TechniquesPhotonic Crystal and Fiber Optics