Hidden
Quantum Illumination — Hidden Tier
(3 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| entanglement_quality_(concurrence) | 0.77 – 1.07 | - |
| background_thermal_noise | -14.0 – 46.0 | - |
| detector_dark_count_rate | -140.0 – 460.0 | Hz |
| channel_loss | -4.2 – 13.8 | dB |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | QI-Net + gradient | 0.493 | 19.66 | 0.582 | 0.82 | ✓ Certified | Quantum illumination DL, 2023 |
| 2 | QuantumFormer + gradient | 0.488 | 19.15 | 0.557 | 0.87 | ✓ Certified | Quantum detection transformer, 2024 |
| 3 | FF-SFG + gradient | 0.461 | 18.18 | 0.509 | 0.88 | ✓ Certified | Zhuang et al., PRL 2017 |
| 4 | OPA Receiver + gradient | 0.312 | 13.78 | 0.301 | 0.77 | ✓ Certified | Guha & Erkmen, PRA 2009 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%