{"id":"W4404310846","doi":"10.4230/lipics.itcs.2026.2","title":"Oracle Separations for the Quantum-Classical Polynomial Hierarchy","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oracle; Hierarchy; Quantum; Polynomial; Computer science; Mathematics; Physics; Quantum mechanics; Political science; Programming language; Mathematical analysis","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":[0.002272255,0.0006264455,0.001053318,0.0009725782,0.001941355,0.003104066,0.001960888,0.001539741,0.01227934],"category_scores_gemma":[0.0132606,0.0005032425,0.001405262,0.0009333406,0.003880443,0.009500698,0.004315083,0.007482536,0.0010242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004368836,"about_ca_system_score_gemma":0.001829725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243703,"about_ca_topic_score_gemma":0.001566308,"domain_scores_codex":[0.9974976,0.0005313666,0.00008727268,0.0004845984,0.0008099506,0.0005891777],"domain_scores_gemma":[0.9875714,0.00925378,0.000658691,0.001304542,0.0004439379,0.000767626],"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":[0.0001164385,0.00005611543,0.0003809697,0.00008937117,0.00001413146,0.00006168307,0.0002574814,0.01305383,0.002071821,0.9759594,0.001230157,0.006708683],"study_design_scores_gemma":[0.0000418237,0.00005412765,0.0003346704,0.00001920798,0.00002128524,0.00007527095,0.00006546836,0.10446,0.001744438,0.890504,0.00265704,0.00002267194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3311739,0.001459216,0.5887768,0.006252459,0.0001483405,0.0001767684,0.0008345972,0.001428745,0.06974913],"genre_scores_gemma":[0.9515043,0.0004473657,0.03777708,0.0007123718,0.0001855964,0.0001105645,0.0003786914,0.0002281956,0.008655768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01227934,"threshold_uncertainty_score":0.04107845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05401666438801043,"score_gpt":0.2160212451741438,"score_spread":0.1620045807861334,"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."}}