{"id":"W1624997067","doi":"10.1017/s0960129518000051","title":"The quantum walk search algorithm: factors affecting efficiency","year":2018,"lang":"en","type":"article","venue":"Mathematical Structures in Computer Science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Curse of dimensionality; Quantum walk; Dimension (graph theory); Symmetry (geometry); Quantum; Carry (investment); Current (fluid); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002215219,0.0003307846,0.0002992591,0.000278864,0.001814934,0.00138013,0.004762191,0.00006834613,0.00001367425],"category_scores_gemma":[0.0002574999,0.0001937822,0.0001013835,0.002299855,0.001846627,0.0003781886,0.001631397,0.000524571,0.0000346599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008617939,"about_ca_system_score_gemma":0.0001899872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003117136,"about_ca_topic_score_gemma":0.000006695265,"domain_scores_codex":[0.9958039,0.0001729727,0.000500735,0.0009936409,0.001293106,0.001235667],"domain_scores_gemma":[0.9970073,0.001209783,0.0001174772,0.0012091,0.0002018278,0.0002544767],"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":[0.000002594305,0.000060341,0.0006644824,0.00002196749,0.000006644348,0.00002849891,0.005191124,0.003737754,0.0001301487,0.09426466,0.00003497107,0.8958568],"study_design_scores_gemma":[0.0001333114,0.0001355785,0.01375099,0.00004208032,0.000001305287,0.00008498407,0.00004119372,0.8710361,0.00160918,0.1128904,0.00003318036,0.0002417039],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3136662,0.00003972121,0.6843817,0.0002765876,0.001144917,0.000190045,7.386508e-7,0.0001607841,0.0001393144],"genre_scores_gemma":[0.7404827,0.000001463507,0.2590962,0.0001059821,0.0002984621,0.000001491057,2.216111e-7,0.000009074452,0.000004423882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8956151,"threshold_uncertainty_score":0.9996566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462481135828267,"score_gpt":0.2780769385946162,"score_spread":0.2634521272363335,"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."}}