{"id":"W2161027938","doi":"10.1126/science.1229957","title":"Universal Computation by Multiparticle Quantum Walk","year":2013,"lang":"en","type":"article","venue":"Science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":462,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantum walk; Quantum computer; Quantum algorithm; Quantum; Physics; Quantum process; Random walk; Statistical physics; Quantum mechanics; Quantum dynamics; Mathematics","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":[0.000289112,0.00009714711,0.00008086049,0.000095795,0.0003741762,0.0004052945,0.001055463,0.00002115457,0.00001626719],"category_scores_gemma":[0.00004181449,0.0000823347,0.00002691793,0.0009676372,0.0002884928,0.0009410629,0.0002274582,0.0001044706,0.0002613123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003006905,"about_ca_system_score_gemma":0.00009240294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646298,"about_ca_topic_score_gemma":0.000001566561,"domain_scores_codex":[0.9985901,0.00003197832,0.0001281875,0.0004282073,0.0004118315,0.0004097034],"domain_scores_gemma":[0.9992894,0.00006383592,0.00005546437,0.0002909155,0.0001258264,0.0001745742],"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":[0.000002231727,0.0001572158,0.002230499,0.00001074557,0.000007256261,0.00001306965,0.002809229,0.03274566,0.1185984,0.01824982,0.00538821,0.8197876],"study_design_scores_gemma":[0.0001385904,0.00005339928,0.01405299,0.000005899683,6.067921e-7,0.000008528444,0.00003540979,0.9758905,0.004191548,0.005098027,0.000399993,0.0001244898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5796174,0.00003623938,0.4182868,0.001226207,0.0002972629,0.00009301706,6.733143e-7,0.0001682283,0.0002740876],"genre_scores_gemma":[0.9516472,0.00000110829,0.0480312,0.0002397856,0.00002411363,0.000001673665,5.797786e-7,0.000002994539,0.00005138583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9431449,"threshold_uncertainty_score":0.3908264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006411721936112148,"score_gpt":0.2243074452706342,"score_spread":0.2178957233345221,"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."}}