{"id":"W2004511163","doi":"10.1103/physrevlett.114.140502","title":"Experimental Quantum-Walk Revival with a Time-Dependent Coin","year":2015,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Canadian Institute for Advanced Research","funders":"State Key Laboratory of Precision Spectroscopy; East China Normal University; National Natural Science Foundation of China","keywords":"Quantum walk; Physics; Coin flipping; Photon; Interferometry; Quantum; Lattice (music); Quantum mechanics; Transverse plane; Statistical physics; Optics; Quantum algorithm; Mathematics; Statistics; Acoustics","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":[0.0002796936,0.000254989,0.0004410548,0.00003357715,0.00007154122,0.00009694597,0.0007706943,0.000008504161,0.000008930123],"category_scores_gemma":[0.00002846958,0.0001753498,0.0001331975,0.0003109914,0.00007156745,0.0001940299,0.0002094615,0.0002372795,0.0004163683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004529275,"about_ca_system_score_gemma":0.00005454686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001628105,"about_ca_topic_score_gemma":1.91087e-7,"domain_scores_codex":[0.9981182,0.0001722349,0.0002152995,0.000507461,0.0006211528,0.0003656004],"domain_scores_gemma":[0.9988829,0.00007878225,0.0001178652,0.0006138735,0.00004442058,0.0002621883],"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":[0.0003023244,0.005864696,0.0006412065,0.004869236,0.0009849914,0.003816649,0.01366575,0.06162407,0.14612,0.04081945,0.2746996,0.446592],"study_design_scores_gemma":[0.001359523,0.0009737955,0.0001990282,0.003138714,0.00006556905,0.0003297289,0.00001624761,0.9681519,0.003840625,0.0007451695,0.02002683,0.001152905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7154425,0.0280541,0.208343,0.04398252,0.0005940567,0.001469453,0.000007513169,0.0009471065,0.001159815],"genre_scores_gemma":[0.9545277,0.0001285743,0.01696386,0.02770753,0.0005664277,0.00003530403,0.000006773504,0.00003402676,0.00002982673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9065278,"threshold_uncertainty_score":0.7150559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742330168805649,"score_gpt":0.2742397722471284,"score_spread":0.2568164705590719,"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."}}