{"id":"W4365509460","doi":"10.1103/physreva.107.042610","title":"Measuring the quadrature coherence scale on a cloud quantum computer","year":2023,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; National Research Council Canada; University of Ottawa","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum decoherence; Coherence (philosophical gambling strategy); Physics; Measure (data warehouse); Coherent states; Photon; Beam splitter; Quantum; Quantum state; Interferometry; Quantum mechanics; Computer science; Statistical physics; Laser; Data mining","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005699102,0.0005355565,0.001156711,0.00003362288,0.0003818697,0.00008994217,0.0009301591,0.0000311285,0.00008585822],"category_scores_gemma":[0.00006060552,0.0003391558,0.0009423961,0.001487029,0.0001173742,0.0001210317,0.0002785206,0.0008383317,0.004532741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003589244,"about_ca_system_score_gemma":0.00007829033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002549631,"about_ca_topic_score_gemma":0.000001279288,"domain_scores_codex":[0.9968687,0.0003088472,0.0005611224,0.0008067394,0.0007753278,0.0006792734],"domain_scores_gemma":[0.9973865,0.0005665558,0.0003280314,0.001266577,0.0001730685,0.0002793158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008046606,0.000875643,0.00007383083,0.001832214,0.0001076739,0.000002845632,0.0001020872,0.0000139657,0.004962001,0.8710662,0.0714842,0.04947128],"study_design_scores_gemma":[0.0004412037,0.0003073169,0.000766072,0.01821291,0.0006386508,0.000002395273,0.00003417198,0.03755994,0.003734778,0.6395768,0.2975307,0.00119511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586813,0.03905226,0.02534718,0.04766809,0.001641528,0.01236798,0.000610917,0.001212129,0.01341859],"genre_scores_gemma":[0.982578,0.009958471,0.00003791981,0.00328809,0.002696453,0.00114511,0.0001206058,0.00007439446,0.0001009644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2314894,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066096067073173,"score_gpt":0.342099369897845,"score_spread":0.3114384092271132,"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."}}