Kolmogorov-Arnold networks trained on meteorological data from diverse sites predict the degradation of quantum advantage in turbulent quantum illumination channels.
Homodyne detection for atmosphere channels
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abstract
We give a systematic theoretical description of homodyne detection in the case where both the signal and the local oscillator pass through the turbulent atmosphere. Imperfect knowledge of the local-oscillator amplitude is effectively included in a noisy density operator, leading to postprocessing noise. Alternatively, we propose a technique with monitored transmission coefficient of the atmosphere, which is free of postprocessing noise.
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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.