{"id":"W1994917526","doi":"10.1103/physrevlett.102.180501","title":"Universal Computation by Quantum Walk","year":2009,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1035,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adjacency matrix; Quantum walk; Quantum computer; Quantum algorithm; Computation; Quantum; Feynman diagram; Quantum network; Physics; Quantum mechanics; Computer science; Eigenvalues and eigenvectors; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.000105771,0.00015816,0.0002536719,0.00002925993,0.00008710687,0.00006303861,0.0005153637,0.000007149854,0.00000224206],"category_scores_gemma":[0.00001390593,0.0001313472,0.000133261,0.0003487689,0.00002878547,0.0001797144,0.00004809819,0.0001866502,0.00006578038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002046023,"about_ca_system_score_gemma":0.00001343816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006899523,"about_ca_topic_score_gemma":6.41701e-8,"domain_scores_codex":[0.9988874,0.00009207638,0.0001551983,0.0003396712,0.0002666168,0.0002590464],"domain_scores_gemma":[0.999442,0.00008408377,0.00008515432,0.0002665882,0.00002431083,0.0000977934],"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":[0.00000311318,0.0002376091,0.00001680436,0.0002187597,0.00002597054,0.00004803723,0.0003127599,0.008458144,0.008968471,0.01552457,0.09086428,0.8753215],"study_design_scores_gemma":[0.0001570058,0.000109378,0.0007849333,0.0003855231,0.00001279755,0.00001005818,8.002726e-7,0.9860972,0.0001011,0.003593771,0.008499371,0.0002481207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.114594,0.003944117,0.7996643,0.08076189,0.0002116275,0.0002583378,0.000003001436,0.0003424065,0.0002202958],"genre_scores_gemma":[0.940228,0.0004014228,0.008815779,0.05035137,0.0001787946,0.000001318077,0.00001203739,0.000006693491,0.000004532702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.977639,"threshold_uncertainty_score":0.5356184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008317511415490664,"score_gpt":0.2610418541141101,"score_spread":0.2527243426986195,"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."}}