{"id":"W4380877185","doi":"10.1063/5.0149478","title":"Fast transition-edge sensors suitable for photonic quantum computing","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"National Institute of Standards and Technology","keywords":"Detector; Photonics; Optoelectronics; Qubit; Tungsten; Photon; Physics; Transition edge sensor; Biasing; Bandwidth (computing); Optics; Silicon; Quantum; Materials science; Computer science; Voltage; Quantum mechanics; Telecommunications","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":[0.0001978355,0.000117223,0.0002570098,0.0000473345,0.00006674226,0.00003036961,0.0001205249,0.0000541244,0.000007278677],"category_scores_gemma":[0.000003749782,0.0001089155,0.0001356959,0.0002577767,0.00002124069,0.00008729496,0.000009755092,0.0002194473,0.00003721472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003992319,"about_ca_system_score_gemma":0.00002586674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.895245e-7,"about_ca_topic_score_gemma":3.815181e-7,"domain_scores_codex":[0.9992018,0.000004006813,0.0002868504,0.00007561816,0.0001573226,0.000274412],"domain_scores_gemma":[0.9995496,0.0001637009,0.00006919543,0.00008075734,0.00005693878,0.00007982089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003348675,0.0000279709,0.000001918515,0.0001755304,0.0001023493,0.0000059159,0.00115453,0.9500884,0.0365378,0.00897448,0.001128844,0.001768792],"study_design_scores_gemma":[0.0005623621,0.0000396888,0.0000701616,0.00004316005,0.00004503812,0.000005374474,0.000606865,0.9552224,0.03497424,0.006230183,0.002055072,0.0001454183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645353,0.00005839711,0.0284882,0.00002512126,0.0004197018,0.0001684379,0.00002110776,0.0001376426,0.006146113],"genre_scores_gemma":[0.998382,0.00004682202,0.001107208,0.00004642875,0.0003592259,0.000003387625,0.000007681304,0.00003366032,0.00001361414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03384669,"threshold_uncertainty_score":0.4441446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423370784868009,"score_gpt":0.2330002351625434,"score_spread":0.2187665273138633,"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."}}