Machine-learning classifiers can label an emitter as single or not-single from one-second autocorrelation histograms with about 90% accuracy, while standard fitting on the same sparse data performs near chance.
Simmons, A new horizon for quantum information
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Rapid classification of quantum sources enabled by machine learning
Machine-learning classifiers can label an emitter as single or not-single from one-second autocorrelation histograms with about 90% accuracy, while standard fitting on the same sparse data performs near chance.