Machine-learning classifiers let transition-edge sensors resolve photon numbers at 800 kHz, roughly four times their thermal recovery limit, with accurate assignment up to five photons.
Review of superconducting transition-edge sensors for x-ray and gamma-ray spectroscopy,
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Boosting Photon-Number-Resolved Detection Rates of Transition-Edge Sensors by Machine Learning
Machine-learning classifiers let transition-edge sensors resolve photon numbers at 800 kHz, roughly four times their thermal recovery limit, with accurate assignment up to five photons.