{"id":"W2061865202","doi":"10.1103/physreva.82.052331","title":"Quantum throughput: Quantifying quantum-communication devices with homodyne measurements","year":2010,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Informatics","keywords":"Homodyne detection; Throughput; Quantum; Direct-conversion receiver; Quantum information science; Computer science; Quantum optics; Quantum sensor; Quantum metrology; Electronic engineering; Physics; Quantum network; Quantum computer; Quantum mechanics; Telecommunications; Engineering; Quantum entanglement","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005888283,0.0002379523,0.0003865353,0.00007567145,0.0002560234,0.0002062748,0.001370636,0.00003393179,0.00002085274],"category_scores_gemma":[0.00008334564,0.0001692546,0.0001748764,0.0009365248,0.0001055232,0.001461806,0.000185922,0.0004067048,0.0003298991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001371418,"about_ca_system_score_gemma":0.00006907798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002915769,"about_ca_topic_score_gemma":0.00003943555,"domain_scores_codex":[0.9981802,0.000122693,0.000386647,0.0003250246,0.0006648743,0.0003206291],"domain_scores_gemma":[0.9978548,0.0001113287,0.0003022146,0.00133527,0.0002517183,0.000144708],"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":[0.000005499377,0.0002594944,0.000670875,0.0006496903,0.00004365334,0.000001168557,0.0004809037,0.000003578707,0.001891485,0.9654254,0.0007562568,0.02981196],"study_design_scores_gemma":[0.003666294,0.001248845,0.05117157,0.0135462,0.0005487304,0.0001729226,0.0002779819,0.3546984,0.01041999,0.2292643,0.3304901,0.00449468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5662075,0.02874017,0.356966,0.01399276,0.0008622314,0.002606509,0.000006976905,0.00154716,0.02907069],"genre_scores_gemma":[0.9871895,0.001991573,0.008614756,0.002043947,0.00004868573,0.00008635639,0.000008101406,0.00001396053,0.000003141784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7361611,"threshold_uncertainty_score":0.6902003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0579378611747058,"score_gpt":0.3321872205707495,"score_spread":0.2742493593960437,"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."}}