{"id":"W4416244056","doi":"10.48550/arxiv.2508.09110","title":"Random Party Distillation on a Superconducting Processor","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; HORIZON EUROPE Framework Programme","keywords":"Distillation; Protocol (science); Measure (data warehouse); Superconductivity; Process (computing); State (computer science); Multipartite","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":[0.000392837,0.000219133,0.0003628416,0.0002714047,0.0005089605,0.0005810797,0.0006847431,0.0003395391,0.00413272],"category_scores_gemma":[0.0009808816,0.0001457618,0.0001291665,0.0004331027,0.00104621,0.0008731888,0.0007499855,0.0005790537,0.0004845289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433954,"about_ca_system_score_gemma":0.0005831598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004219267,"about_ca_topic_score_gemma":0.0006559573,"domain_scores_codex":[0.9995053,0.0001518181,0.00001900242,0.00006052207,0.0001855421,0.00007791773],"domain_scores_gemma":[0.9993165,0.00029496,0.00007982059,0.0001854218,0.00007839491,0.00004495079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001812821,0.0003795993,0.004793904,0.0004668831,0.0001041598,0.001206656,0.0007347277,0.04897055,0.5825989,0.2987366,0.005421646,0.05477361],"study_design_scores_gemma":[0.0003148511,0.00138851,0.002025728,0.0000436726,0.00009277269,0.0003084955,0.0001515011,0.3005962,0.6510931,0.02445865,0.01944257,0.00008388104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015718,0.0001551923,0.08325,0.0005525153,0.00008543205,0.0001507333,0.0001421838,0.0007983404,0.01329391],"genre_scores_gemma":[0.9815322,0.00005005837,0.01622108,0.0000327555,0.00001138799,0.0000430033,0.00003663921,0.00003308429,0.002039803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00413272,"threshold_uncertainty_score":0.0138253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07061802071470609,"score_gpt":0.197279541754113,"score_spread":0.1266615210394069,"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."}}