{"id":"W2906340921","doi":"10.1364/oe.27.020745","title":"Influence of pump coherence on the generation of position-momentum entanglement in optical parametric down-conversion","year":2019,"lang":"en","type":"article","venue":"Optics Express","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"China Scholarship Council; Canada First Research Excellence Fund; Natural Science Foundation of Fujian Province; Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Quantum entanglement; Physics; Spontaneous parametric down-conversion; Coherence (philosophical gambling strategy); Photon; Optics; Degree of coherence; Photon entanglement; Ghost imaging; Quantum optics; Momentum (technical analysis); Quantum mechanics; Quantum","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":[0.0002519501,0.00007766375,0.0001107131,0.0001999453,0.00002702376,0.00003799619,0.0004640161,0.0000395348,0.00002939355],"category_scores_gemma":[0.00002557544,0.00005843716,0.00004097896,0.0005503105,0.00004500411,0.0003300761,0.00009970267,0.00008347973,0.00002987487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002468892,"about_ca_system_score_gemma":0.00002530078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009815615,"about_ca_topic_score_gemma":3.568479e-7,"domain_scores_codex":[0.9990047,0.00004228501,0.0003149107,0.0001337284,0.0003807762,0.0001235832],"domain_scores_gemma":[0.9991726,0.000133989,0.0001608383,0.0003929341,0.000107877,0.00003180154],"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":[0.00002943045,0.000341806,0.005583175,0.00008126599,0.00001946793,0.000001684123,0.001658329,0.07661223,0.1017741,0.8129779,0.0001723191,0.0007482526],"study_design_scores_gemma":[0.0007840091,0.0005232256,0.01351179,0.0001441158,0.000006527641,0.000002069233,0.0002808872,0.3646637,0.6183721,0.001351239,0.0001622248,0.0001980165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856861,0.000008018393,0.01208905,0.000207467,0.00008782363,0.0002664913,0.000003388265,0.000009806299,0.001641881],"genre_scores_gemma":[0.9968308,0.00001797743,0.002959677,0.0001567468,0.00000525431,0.00001291943,0.000004092534,0.00000216613,0.00001032192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8116267,"threshold_uncertainty_score":0.2382998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146429693746075,"score_gpt":0.2310039228734767,"score_spread":0.2163609534988692,"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."}}