{"id":"W2561259155","doi":"10.1103/physreva.95.062114","title":"Probing Anderson localization using the dynamics of a qubit","year":2017,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Qubit; Dynamics (music); Statistical physics; Physics; Computer science; Quantum mechanics; Quantum","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002308527,0.0001999997,0.0002047361,0.0002177011,0.0002227984,0.0004376038,0.0003136371,0.0005785068,0.001113372],"category_scores_gemma":[0.0005317491,0.0001288754,0.0001965316,0.0002109354,0.0007940813,0.0006622479,0.0004222027,0.0004954315,0.0001937672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003901644,"about_ca_system_score_gemma":0.0002280916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004335418,"about_ca_topic_score_gemma":0.0004244972,"domain_scores_codex":[0.9998758,0.00003527881,0.000004538448,0.00002780852,0.00003853485,0.00001810447],"domain_scores_gemma":[0.9998392,0.0000713598,0.00003675793,0.00002173235,0.0000157121,0.00001521925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001155329,0.0001062804,0.001024536,0.0002695264,0.00004290692,0.0002244088,0.0002047484,0.007933078,0.8737701,0.1031038,0.0006236967,0.01258151],"study_design_scores_gemma":[0.0002006059,0.001030211,0.004656719,0.000117492,0.0001227595,0.0007132603,0.0002856996,0.2418274,0.67397,0.0597894,0.01712574,0.0001606306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152445,0.002899256,0.0653694,0.001099701,0.000185318,0.00005798359,0.0001463826,0.0001413468,0.01485614],"genre_scores_gemma":[0.9890464,0.0015503,0.008189771,0.0001072854,0.0000284829,0.00002673889,0.00002585295,0.000009579359,0.001015458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001113372,"threshold_uncertainty_score":0.003724635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036738365148632,"score_gpt":0.3668559874473639,"score_spread":0.3364886037958776,"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."}}