{"id":"W3108643865","doi":"10.26421/qic20.13-14-4","title":"Analysis of lackadaisical quantum walks","year":2020,"lang":"en","type":"article","venue":"Quantum Information and Computation","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Quantum walk; Mathematics; Vertex (graph theory); Random walk; Torus; Discrete mathematics; Quantum; Regular graph; Combinatorics; Quantum algorithm; Quadratic growth; Graph; Line graph; Quantum mechanics; Voltage graph; Physics; Mathematical analysis; Statistics","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":[0.0006081156,0.0002614973,0.000498989,0.001107468,0.0009561272,0.001143118,0.0008717157,0.0008989024,0.006066943],"category_scores_gemma":[0.006288174,0.0003221449,0.0003836767,0.0004444867,0.00169206,0.002102988,0.0009563718,0.0009516594,0.0003408988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009306424,"about_ca_system_score_gemma":0.0006699651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114455,"about_ca_topic_score_gemma":0.000991105,"domain_scores_codex":[0.9996333,0.00007067723,0.0000179291,0.000070972,0.0001264966,0.00008056451],"domain_scores_gemma":[0.9974079,0.001209902,0.0003284088,0.0003845087,0.0003658121,0.0003035064],"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":[0.0001057746,0.00005887507,0.001931516,0.00008850096,0.00001731754,0.0002262736,0.0001617101,0.06219893,0.004554137,0.9252234,0.0009770972,0.004456426],"study_design_scores_gemma":[0.00003556325,0.00005866555,0.0008499644,0.00002382132,0.000010671,0.0001365346,0.0001094737,0.4990376,0.001448778,0.4967717,0.001491976,0.00002525818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.830881,0.0003569686,0.137314,0.0006814467,0.00005736903,0.00009628409,0.000197731,0.0002258389,0.03018936],"genre_scores_gemma":[0.9914435,0.00008148051,0.005412717,0.00004923715,0.00001874749,0.00005376511,0.00006886586,0.00003715141,0.002834531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006066943,"threshold_uncertainty_score":0.02029598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367007326234085,"score_gpt":0.2463213300750869,"score_spread":0.2326512568127461,"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."}}