HomeQuantum PhysicsQuantum Illumination Radar 2D: Signal-Space Discrimination

Quantum Illumination Radar 2D: Signal-Space Discrimination

Interactive 2D signal-space diagram of quantum illumination radar: watch the quantum-receiver and classical-receiver measurement distributions for signal-present vs signal-absent hypotheses directly, plus a live error-probability-vs-reflectivity curve showing the exact 4x error-exponent advantage, without any 3D scene to look at.

Quantum Physics2DAdvanced60 FPS📱 Mobile-adapted⇄ 3D version
2d-quantum-radar-illumination-entanglement ↗ Open standalone

This 2D-native counterpart to the 3D quantum-illumination flight simulator drops the animated photon scene entirely and shows the actual object the physics is about: the measurement-space diagrams a receiver uses to decide "target present" or "target absent". Two panels plot the quantum and classical receivers' theoretical Gaussian distributions side by side, with a live strip-plot of every trial's real measurement value landing in a present-row or absent-row, colored by whether the decision was correct. A third panel sweeps the exact error-probability formulas across target reflectivity κ on a log scale, making the textbook 4x error-exponent (6 dB) quantum advantage visible as a constant vertical gap between two curves rather than a single readout, exactly reproducing the discrimination statistics of the 3D model through a genuinely 2D, distribution-based representation.

⚙ Under the hood

Interactive 2D signal-space diagram of quantum illumination radar: watch the quantum-receiver and classical-receiver measurement distributions for signal-present vs signal-absent hypotheses directly, with a live strip-plot of every trial and an error-probability-vs-reflectivity curve showing the exact 4x error-exponent advantage — no 3D scene, just the detection-theory math itself.

quantum illuminationentanglementdetection theorysignal spaceGaussian discriminationquantum optics

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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