{"id":"W4409238193","doi":"10.1007/s11128-025-04728-3","title":"Comparative investigation of quantum and classical kernel functions applied in support vector machine algorithms","year":2025,"lang":"en","type":"article","venue":"Quantum Information Processing","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Quantum computer; Support vector machine; Computer science; Algorithm; Quantum; Quantum algorithm; Kernel (algebra); Artificial intelligence; Physics; Mathematics; Quantum mechanics; Discrete mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004893458,0.0003115542,0.0006248468,0.001634618,0.0005049786,0.001987807,0.0009461044,0.000698422,0.001899354],"category_scores_gemma":[0.02322299,0.0001642663,0.000309017,0.001924509,0.001031608,0.003440498,0.0007328277,0.0005909261,0.0003037225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045662,"about_ca_system_score_gemma":0.0007943094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316233,"about_ca_topic_score_gemma":0.000900874,"domain_scores_codex":[0.9979295,0.001007344,0.000118986,0.0001413761,0.0006733983,0.0001294063],"domain_scores_gemma":[0.9849951,0.01047659,0.0005521078,0.0009339918,0.002808099,0.0002341265],"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":[0.00150414,0.0005170905,0.01093138,0.0009899958,0.000318177,0.0001896927,0.0005538173,0.2237044,0.01236539,0.3582188,0.002722197,0.3879848],"study_design_scores_gemma":[0.00003837593,0.0003094656,0.007102088,0.000046532,0.00006823741,0.0001502977,0.0002758704,0.9442313,0.006437344,0.03816552,0.003145011,0.00003004384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6483219,0.01163466,0.3158967,0.001551763,0.000231711,0.00006358039,0.0001241451,0.0007273972,0.0214481],"genre_scores_gemma":[0.9754152,0.001189033,0.02194377,0.00004861957,0.00006690127,0.00001550524,0.0000726201,0.0000569037,0.00119139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004893458,"threshold_uncertainty_score":0.02587938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364341127312588,"score_gpt":0.2555144115763202,"score_spread":0.2418710003031943,"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."}}