Kolmogorov-Arnold networks trained on meteorological data from diverse sites predict the degradation of quantum advantage in turbulent quantum illumination channels.
Quantum light in the turbulent atmosphere
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abstract
Nonclassical properties of light propagating through the turbulent atmosphere are studied. We demonstrate by numerical simulation that the probability distribution of the transmission coefficient, which characterizes the effects of the atmosphere on the quantum state of light, can be reconstructed by homodyne detection. Nonclassical photon-statistics and, more generally, nonclassical Glauber-Sudarshan functions appear to be more robust against turbulence for weak light fields rather than for bright ones.
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quant-ph 1years
2026 1verdicts
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Quantum advantage prediction in turbulent free-space quantum illumination
Kolmogorov-Arnold networks trained on meteorological data from diverse sites predict the degradation of quantum advantage in turbulent quantum illumination channels.