{"id":"W4401332029","doi":"10.1103/physrevlett.133.063601","title":"Digital Homodyne and Heterodyne Detection for Stationary Bosonic Modes","year":2024,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"HORIZON EUROPE European Innovation Council; Wallenberg Center for Quantum Technology, Chalmers University of Technology; Wallenberg Centre for Molecular and Translational Medicine; HORIZON EUROPE Framework Programme; Canada First Research Excellence Fund; European Commission; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Knut och Alice Wallenbergs Stiftelse","keywords":"Homodyne detection; Heterodyne (poetry); Heterodyne detection; Direct-conversion receiver; Physics; Optics; Quantum mechanics; Acoustics; Laser","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":[0.0008769355,0.0002722226,0.0003194048,0.0003791642,0.000353459,0.0008056524,0.000881725,0.00053809,0.002202959],"category_scores_gemma":[0.003217347,0.0001914545,0.0002630672,0.0003899119,0.001289574,0.001599204,0.000944953,0.0009804042,0.0003133084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006754153,"about_ca_system_score_gemma":0.0006020385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003340789,"about_ca_topic_score_gemma":0.0004602868,"domain_scores_codex":[0.9993414,0.000136035,0.00002443616,0.0001494682,0.000282476,0.0000661249],"domain_scores_gemma":[0.9989688,0.000527693,0.0001098571,0.0002508477,0.00009606365,0.00004672134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005765191,0.000248149,0.003064311,0.0002131968,0.00007521575,0.0002435297,0.0002649282,0.03735478,0.2352469,0.6527186,0.001134454,0.06885942],"study_design_scores_gemma":[0.00009210507,0.0003048977,0.001513494,0.00003984643,0.00002500417,0.0002889173,0.00006002812,0.7411461,0.1683218,0.08377382,0.004355998,0.00007800294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3561706,0.0006100062,0.6284946,0.0005678004,0.000167148,0.000125353,0.000147649,0.0002583838,0.01345844],"genre_scores_gemma":[0.9131521,0.0001628158,0.08432286,0.0001062805,0.00002141677,0.00006112468,0.00004648808,0.00002561861,0.002101275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002202959,"threshold_uncertainty_score":0.007369637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093635111471297,"score_gpt":0.2705910605906771,"score_spread":0.2596547094759641,"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."}}