"Synthetic Executable Companion: Demonstration of Quantum Advantage in Microwave Quantum Radar \u2014 Dataset and Simulator"

"This dataset and simulator bundle translates the paper Demonstration of Quantum Advantage in Microwave Quantum Radar into an executable synthetic artifact for exploring quantum-enhanced target detection in noisy microwave environments. The package includes a Python-based simulator, synthetic CSV outputs, and figures that model Gaussian-state covariance evolution, two-mode squeezing, attenuation, thermal-noise effects, interferometric phase tuning, delay optimization, recombination gain, and quantum-versus-classical error exponents. It covers multiple scenarios, including the main operating point, low-noise quantum-advantage mapping, thermal-population sensitivity, interferometer phase tuning, delay optimization, and high-noise regimes. The bundle is intended for research, education, and design exploration in quantum sensing, superconducting circuits, and microwave radar systems. By converting a complex experimental quantum radar study into runnable code and structured synthetic data, this artifact supports interactive investigation of where quantum advantage emerges and how it depends on signal strength, noise level, and system purity."