Hidden

Entangled Photon Microscopy — Hidden Tier

(3 scenes)

Fully blind server-side evaluation — no data download.

No data downloadable. Algorithm runs server-side on hidden measurements.

Package algorithm as Docker container / Python script. Submit via link.

Containerized algorithm accepting y + H, outputting x_hat + corrected spec.

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True spec hidden — blind evaluation, only ranges available.

Parameter	Spec Range	Unit
pair_generation_rate	-1.4 – 4.6	-
coincidence_window	-0.26 – 5.14	ns
accidental_coincidence_rate	-2.8 – 9.2	-
photon_loss_(per_arm)	-0.84 – 2.76	dB

#	Method	Score	PSNR	SSIM	Consistency	Trust	Source
1	SwinGhost + gradient	0.728	29.96	0.916	0.81	✓ Certified	Wang et al., npj Quantum Inf. 2023
2	TransGhost + gradient	0.669	26.88	0.855	0.79	✓ Certified	Li et al., Opt. Express 2022
3	DiffGhost + gradient	0.650	25.95	0.831	0.79	✓ Certified	Gao et al., NeurIPS 2024
4	PhysGhost + gradient	0.596	23.96	0.767	0.75	✓ Certified	Chen et al., Phys. Rev. Lett. 2024
5	GAN-Ghost + gradient	0.548	22.17	0.697	0.74	✓ Certified	Wang et al., Phys. Rev. A 2019
6	DnCNN-Ghost + gradient	0.525	20.9	0.641	0.8	✓ Certified	Lyu et al., Optica 2017
7	Coincidence-Count + gradient	0.407	16.95	0.448	0.79	✓ Certified	Pittman et al., Phys. Rev. A 1995
8	SVD-Ghost + gradient	0.341	14.26	0.321	0.85	✓ Certified	Gong et al., Sci. Rep. 2010
9	CS-Ghost + gradient	0.314	13.07	0.272	0.87	✓ Certified	Katz et al., Appl. Phys. Lett. 2009

Scenes: 3

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%