{"id":"W2087352629","doi":"10.1103/physrevlett.108.230506","title":"Adiabatic Quantum Algorithm for Search Engine Ranking","year":2012,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"PageRank; Computer science; Quantum algorithm; Algorithm; Quantum computer; Quantum; Theoretical computer science; Ranking (information retrieval); Adiabatic process; Information retrieval; Physics; Quantum mechanics","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":[0.0007802232,0.0002802048,0.0006174063,0.0005767057,0.0009310317,0.0009295695,0.001278701,0.0008471439,0.005821985],"category_scores_gemma":[0.003609654,0.0002500179,0.0004391841,0.0007289749,0.001297384,0.001623908,0.00124856,0.0009035252,0.0007081237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177097,"about_ca_system_score_gemma":0.001761694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174751,"about_ca_topic_score_gemma":0.00263742,"domain_scores_codex":[0.999446,0.0001907262,0.00002600962,0.00006547759,0.0001823925,0.00008945357],"domain_scores_gemma":[0.9987244,0.0007072084,0.00007679585,0.0002431701,0.0001718103,0.00007655746],"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":[0.0003345806,0.0001515897,0.001216186,0.0001477286,0.00007664906,0.0001585288,0.0002109898,0.3021255,0.01051401,0.5654525,0.004836492,0.1147753],"study_design_scores_gemma":[0.00005834912,0.00004411817,0.0001366078,0.00000538344,0.00001277743,0.00003250385,0.00002042576,0.9039885,0.002248148,0.0920891,0.001342931,0.00002110858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06444708,0.0002836316,0.9230549,0.0006998086,0.0001187513,0.0001629926,0.000129436,0.000861125,0.01024235],"genre_scores_gemma":[0.7339082,0.0001893116,0.2587363,0.0002893832,0.00006228621,0.0002840893,0.0001445091,0.0001217547,0.006264103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005821985,"threshold_uncertainty_score":0.01947641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915950580011912,"score_gpt":0.2927217923485285,"score_spread":0.2735622865484094,"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."}}