Gradient descent optimization reconstructs POVMs for phase-insensitive quantum detectors with higher or comparable fidelity to constrained convex optimization but in much less time.
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Multiplexed SNSPDs with model-informed characterization and quantum detector tomography achieve photon counting up to 9000+ photons with 4.1 dB sub-Poissonian performance and sub-single-photon precision to 276 photons.
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Gradient-descent methods for scalable quantum detector tomography
Gradient descent optimization reconstructs POVMs for phase-insensitive quantum detectors with higher or comparable fidelity to constrained convex optimization but in much less time.
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Macroscopic photon counting beating the Poisson noise limit
Multiplexed SNSPDs with model-informed characterization and quantum detector tomography achieve photon counting up to 9000+ photons with 4.1 dB sub-Poissonian performance and sub-single-photon precision to 276 photons.