Dev
Quantum Illumination — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| entanglement_quality_(concurrence) | 0.82 – 1.12 | - |
| background_thermal_noise | -24.0 – 36.0 | - |
| detector_dark_count_rate | -240.0 – 360.0 | Hz |
| channel_loss | -7.2 – 10.8 | dB |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | QuantumFormer + gradient | 0.570 | 21.8 | 0.681 | 0.9 | ✓ Certified | Quantum detection transformer, 2024 |
| 2 | QI-Net + gradient | 0.514 | 20.48 | 0.622 | 0.8 | ✓ Certified | Quantum illumination DL, 2023 |
| 3 | FF-SFG + gradient | 0.507 | 19.99 | 0.598 | 0.84 | ✓ Certified | Zhuang et al., PRL 2017 |
| 4 | OPA Receiver + gradient | 0.367 | 15.33 | 0.37 | 0.83 | ✓ Certified | Guha & Erkmen, PRA 2009 |
Visible Data Fields
y
H_ideal
spec_ranges
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%