{"id":"W4402514755","doi":"10.1103/physrevapplied.22.034035","title":"Directional emission of a readout resonator for qubit measurement","year":2024,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"MIT-IBM Watson AI Lab; Natural Sciences and Engineering Research Council of Canada; International Business Machines Corporation; National Science Foundation","keywords":"Qubit; Resonator; Physics; Phase qubit; Optoelectronics; Optics; Telecommunications; Electrical engineering; Computer science; Quantum; Quantum mechanics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802849,0.0004175316,0.0003116329,0.0001889893,0.000323364,0.0008521464,0.0007380901,0.0007672741,0.001685975],"category_scores_gemma":[0.001355082,0.0003424769,0.0002010391,0.0001863277,0.0006002797,0.0009221205,0.0007676723,0.000822435,0.001261859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004036262,"about_ca_system_score_gemma":0.0003224426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000137827,"about_ca_topic_score_gemma":0.0002829592,"domain_scores_codex":[0.9991793,0.0001445341,0.00004393171,0.000224959,0.0003528274,0.00005446776],"domain_scores_gemma":[0.9992425,0.0002485059,0.0001578719,0.0001393783,0.0001633783,0.00004833965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007358296,0.00003901501,0.00017507,0.00005785935,0.000007094896,0.00005334479,0.00005691178,0.0004107535,0.9775354,0.01175305,0.0004713661,0.00936646],"study_design_scores_gemma":[0.00005968811,0.0004202189,0.000302845,0.00001256107,0.00001899682,0.0002960263,0.00003891072,0.01719637,0.9628321,0.001423841,0.01735673,0.00004172238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.468814,0.002523265,0.4894982,0.00297374,0.001313058,0.0002528303,0.0002421236,0.001552001,0.03283075],"genre_scores_gemma":[0.8242422,0.000932132,0.1652178,0.0005935969,0.0001822192,0.00009746248,0.00008948633,0.0001647272,0.008480416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001685975,"threshold_uncertainty_score":0.005640149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302378859631586,"score_gpt":0.306843733366899,"score_spread":0.2766058474037404,"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."}}