{"id":"W1997426178","doi":"10.1103/physrevlett.109.100401","title":"Classical Simulation of Entanglement Swapping with Bounded Communication","year":2012,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Army Research Office; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Agence Nationale de la Recherche; National Science Foundation","keywords":"Quantum entanglement; Quantum nonlocality; Randomness; Bounded function; Physics; Property (philosophy); Squashed entanglement; Eigenvalues and eigenvectors; Statistical physics; Quantum; Quantum mechanics; Mathematics; Statistics; Mathematical analysis","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":[0.0001217562,0.0000953369,0.0001980039,0.00001282935,0.00006312204,0.000009090377,0.0001174431,0.000003459372,0.00008733716],"category_scores_gemma":[0.000002593137,0.00007465869,0.00008421861,0.0001384888,0.00003574495,0.0001191979,0.00003523275,0.00008915324,0.00003870279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001851015,"about_ca_system_score_gemma":0.000008611303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009317771,"about_ca_topic_score_gemma":1.893231e-7,"domain_scores_codex":[0.9993533,0.00004932464,0.0001837748,0.00009754321,0.0001570234,0.0001590343],"domain_scores_gemma":[0.999359,0.00008986732,0.0001547837,0.0003033585,0.00003244821,0.00006057505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001334642,0.001381995,0.003963801,0.0004741316,0.0001847837,8.285161e-8,0.0004591298,0.0006758037,0.01998546,0.9554475,0.002471675,0.01494232],"study_design_scores_gemma":[0.004351643,0.0004699781,0.01398634,0.01110066,0.002601198,0.000002661349,0.0006373651,0.2544807,0.02267757,0.1210647,0.5653927,0.003234413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8226308,0.001701911,0.1660512,0.006846414,0.00003944666,0.0009729223,0.00002089906,0.00003691346,0.001699494],"genre_scores_gemma":[0.9983321,0.00005770801,0.0004205518,0.0009139513,0.0001229967,0.00008668697,0.00005219755,0.00001045697,0.000003374831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8343827,"threshold_uncertainty_score":0.3044493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672213270566186,"score_gpt":0.3184459945223945,"score_spread":0.2917238618167326,"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."}}