{"id":"W3174169176","doi":"10.1103/physrevb.104.094106","title":"Interacting defects generate stochastic fluctuations in superconducting qubits","year":2021,"lang":"en","type":"preprint","venue":"Physical review. B./Physical review. B","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Qubit; Superconductivity; Physics; Resonator; Measure (data warehouse); Superconducting quantum computing; Planar; Statistical physics; Transmon; Relaxation (psychology); Quantum mechanics; Computer science; Optoelectronics; 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":[0.0006895705,0.0001746904,0.0003287648,0.0005470711,0.0003618054,0.001013073,0.0004776838,0.0006893395,0.002019226],"category_scores_gemma":[0.00310468,0.0002283619,0.0002986703,0.0003479911,0.0008756521,0.0007159174,0.0004951495,0.0005499848,0.0003560318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141784,"about_ca_system_score_gemma":0.0002370205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004496908,"about_ca_topic_score_gemma":0.0003711428,"domain_scores_codex":[0.9996638,0.00009506626,0.0000152057,0.00004452001,0.0001465237,0.00003474766],"domain_scores_gemma":[0.9989418,0.0005720146,0.0001502269,0.0001230842,0.0001455931,0.0000671021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004258775,0.0001456698,0.00534379,0.0006469336,0.0002451884,0.001418548,0.0006245164,0.04407848,0.07399738,0.7747498,0.03241254,0.06591137],"study_design_scores_gemma":[0.000349508,0.0003260539,0.01778754,0.0001185254,0.0001967324,0.001129547,0.0004051396,0.3005333,0.05640796,0.5621035,0.06040433,0.0002379034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720037,0.00870922,0.07584889,0.00868276,0.002601155,0.00005138108,0.0003136119,0.001073722,0.03071552],"genre_scores_gemma":[0.9925251,0.001955726,0.002194555,0.0003373833,0.0003333894,0.00001761438,0.00005113711,0.00008241137,0.002502613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002019226,"threshold_uncertainty_score":0.006754994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572025415683661,"score_gpt":0.3595080959350703,"score_spread":0.3337878417782337,"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."}}