{"id":"W4407123949","doi":"10.48550/arxiv.2502.00670","title":"Gaussian quantum data hiding","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Périmètre de physique théorique; Government of Canada; Ministry of Colleges and Universities; Canada First Research Excellence Fund; Innovation, Science and Economic Development Canada","keywords":"Gaussian; Computer science; Quantum; Statistical physics; Physics; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0006248053,0.0004804161,0.0005202931,0.0002621441,0.0003194697,0.0003837233,0.008041712,0.0004416203,0.0000125121],"category_scores_gemma":[0.0001572746,0.0004398249,0.0001606597,0.0004617714,0.00006966621,0.0002269549,0.01869462,0.002088799,0.00008985546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005823992,"about_ca_system_score_gemma":0.0004645903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000186816,"about_ca_topic_score_gemma":0.00001009171,"domain_scores_codex":[0.9964548,0.0001692949,0.0005038886,0.001860029,0.0003908305,0.000621194],"domain_scores_gemma":[0.9940444,0.0002091427,0.0002806148,0.005221442,0.00007583025,0.000168548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004061334,0.001004532,0.1765835,0.002871495,0.001380932,0.00141064,0.006866054,0.0440973,0.0006017029,0.1166444,0.07139459,0.5771043],"study_design_scores_gemma":[0.0001850814,0.00002983082,0.01782625,0.0006573602,0.00003054613,0.00001925766,0.00001337822,0.9505327,0.0001779164,0.006640975,0.02325809,0.0006285683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3340281,0.001508426,0.6412081,0.01005412,0.008187568,0.0004654292,0.000154802,0.00137171,0.003021762],"genre_scores_gemma":[0.9379139,0.0001261978,0.05770827,0.00138676,0.001219561,0.00001997786,0.000218494,0.00003989239,0.001366931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9064354,"threshold_uncertainty_score":0.9998053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06870069545591137,"score_gpt":0.3048651124074346,"score_spread":0.2361644169515233,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}