Public
Quantum Illumination — Public Tier
(3 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| entanglement_quality_(concurrence) | 0.8 – 1.1 | 0.95 | - |
| background_thermal_noise | -20.0 – 40.0 | 10.0 | - |
| detector_dark_count_rate | -200.0 – 400.0 | 100.0 | Hz |
| channel_loss | -6.0 – 12.0 | 3.0 | dB |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
6.97 dB
SSIM 0.2037
Scenario II (Mismatch)
6.97 dB
SSIM 0.1457
Scenario III (Oracle)
10.09 dB
SSIM 0.2808
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 6.67 | 0.1907 | 6.63 | 0.1348 | 9.76 | 0.2662 |
| scene_01 | 6.94 | 0.2009 | 6.94 | 0.1453 | 10.04 | 0.2786 |
| scene_02 | 7.55 | 0.2318 | 7.63 | 0.1622 | 10.73 | 0.3080 |
| scene_03 | 6.69 | 0.1916 | 6.70 | 0.1404 | 9.84 | 0.2704 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | QuantumFormer + gradient | 0.674 | 26.25 | 0.839 | 0.88 | ✓ Certified | Quantum detection transformer, 2024 |
| 2 | QI-Net + gradient | 0.623 | 23.83 | 0.762 | 0.9 | ✓ Certified | Quantum illumination DL, 2023 |
| 3 | FF-SFG + gradient | 0.494 | 19.01 | 0.55 | 0.92 | ✓ Certified | Zhuang et al., PRL 2017 |
| 4 | OPA Receiver + gradient | 0.428 | 16.74 | 0.437 | 0.93 | ✓ Certified | Guha & Erkmen, PRA 2009 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%