{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244079,0.000516199,0.000655517,0.0005541885,0.0009588151,0.001526033,0.001272845,0.0009847067,0.003352602],"category_scores_gemma":[0.003323968,0.0002996072,0.0007624493,0.0008067533,0.003213773,0.003931,0.00326794,0.001761372,0.0005790209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009501735,"about_ca_system_score_gemma":0.0009305975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005587363,"about_ca_topic_score_gemma":0.0004528854,"domain_scores_codex":[0.9984509,0.0003803183,0.00007570363,0.0002508903,0.0005710714,0.0002711566],"domain_scores_gemma":[0.9980443,0.0006184607,0.0001655473,0.000860928,0.0002317702,0.00007910809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000865379,0.00003066761,0.0002326695,0.00008309557,0.00002283542,0.00008246936,0.0001471971,0.01251836,0.007781649,0.9625734,0.0008528456,0.01558827],"study_design_scores_gemma":[0.0000346615,0.00007242867,0.0002499537,0.00005103094,0.00003300658,0.0002376265,0.00009614302,0.1875022,0.02396069,0.7812275,0.006477075,0.00005760552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09904486,0.0006998453,0.8704228,0.001235415,0.0001744937,0.0001015714,0.0002994443,0.0003970961,0.02762437],"genre_scores_gemma":[0.8981919,0.0005363392,0.09414769,0.0003217005,0.00009945205,0.0001163564,0.000144757,0.00006758597,0.006374135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003352602,"threshold_uncertainty_score":0.01121563,"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."}}