A risk-aware stochastic framework models uncertain quantum channels with chance constraints on covertness and reliability, yielding quantile reformulations and Monte Carlo results that expand feasible regions and improve covert throughput by over an order of magnitude.
Andrews and Melissa K
2 Pith papers cite this work. Polarity classification is still indexing.
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TurPy delivers a differentiable wave-optics turbulence simulator that reproduces theoretical beam broadening and scintillation to 98% accuracy and enables end-to-end optimization of diffractive neural networks.
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A Risk-Aware Framework for Covert Quantum Communication under Stochastic Channel Uncertainty
A risk-aware stochastic framework models uncertain quantum channels with chance constraints on covertness and reliability, yielding quantile reformulations and Monte Carlo results that expand feasible regions and improve covert throughput by over an order of magnitude.
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TurPy: a physics-based and differentiable optical turbulence simulator for algorithmic development and system optimization
TurPy delivers a differentiable wave-optics turbulence simulator that reproduces theoretical beam broadening and scintillation to 98% accuracy and enables end-to-end optimization of diffractive neural networks.