{"id":"W4417299962","doi":"10.48550/arxiv.2505.11706","title":"Forensics of Error Rates of Quantum Hardware","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":"","keywords":"Qubit; Exploit; Quantum computer; Word error rate; Router; IBM; Cloud computing; Error detection and correction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003123542,0.0003353096,0.0006934065,0.0002194812,0.00007429603,0.00003580611,0.001915894,0.0002444763,0.000006282239],"category_scores_gemma":[0.0001342812,0.0002978357,0.0003243055,0.0003994888,0.0001448007,0.00006128238,0.00286735,0.0006557847,0.000006676416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002290702,"about_ca_system_score_gemma":0.0003680974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001586065,"about_ca_topic_score_gemma":0.000007968923,"domain_scores_codex":[0.997915,0.0001059058,0.0006375418,0.0006869355,0.0003288635,0.000325732],"domain_scores_gemma":[0.997395,0.0002311809,0.000548455,0.001426237,0.0003248197,0.00007429277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001116722,0.001000736,0.4504343,0.009556386,0.001554613,0.000175574,0.01396803,0.2147372,0.003342262,0.1168857,0.01047541,0.1777581],"study_design_scores_gemma":[0.0004231091,0.0001855406,0.08368894,0.00172418,0.00006061031,0.000008047185,0.00005362077,0.8620268,0.0234181,0.02639556,0.00140295,0.0006125142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.733788,0.000632444,0.2621663,0.0007926485,0.001840753,0.0002417291,0.0000684014,0.0001396474,0.0003301584],"genre_scores_gemma":[0.9586764,0.00003862709,0.04069706,0.0001322611,0.0001358017,0.000009338722,0.00001959346,0.00001571043,0.0002752176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6472896,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05202675408950685,"score_gpt":0.305080178514499,"score_spread":0.2530534244249921,"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."}}