{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004016633,0.0002697804,0.0008516107,0.0007693754,0.0009574923,0.001316798,0.001129532,0.001399023,0.003040694],"category_scores_gemma":[0.03558667,0.0002363221,0.0003485121,0.001053497,0.00181215,0.00282345,0.0008614534,0.001005984,0.0002913676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488577,"about_ca_system_score_gemma":0.001803857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003867287,"about_ca_topic_score_gemma":0.003650058,"domain_scores_codex":[0.9989021,0.0004569513,0.00005731607,0.0001064422,0.0002965288,0.0001807471],"domain_scores_gemma":[0.9801486,0.01672154,0.000528448,0.001366662,0.000901629,0.0003329628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003868146,0.000190503,0.00501411,0.0001771953,0.00006127585,0.0001267969,0.0001670008,0.8429732,0.005499412,0.1264704,0.001185249,0.01774806],"study_design_scores_gemma":[0.00004712434,0.00005273349,0.0004462667,0.00001139055,0.00001032359,0.00002593972,0.0000412775,0.9838245,0.001070182,0.0142347,0.0002247043,0.00001091858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8589115,0.0006790528,0.1232749,0.001888606,0.00006407216,0.0001848904,0.0001709384,0.0002737459,0.01455236],"genre_scores_gemma":[0.9605676,0.0001344996,0.03837189,0.00008273709,0.0000104022,0.00009530322,0.00007463077,0.0000622662,0.0006007338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004016633,"threshold_uncertainty_score":0.02124226,"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."}}