{"id":"W2233120233","doi":"10.1103/physreva.93.022302","title":"Self-assisted complete maximally hyperentangled state analysis via the cross-Kerr nonlinearity","year":2016,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Photon; Polarization (electrochemistry); Physics; Quantum mechanics; State (computer science); Bell state; Statistical physics; Computer science; Quantum; Quantum entanglement; Algorithm","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":[0.001244466,0.0004132086,0.0004163478,0.0006450465,0.0006217663,0.0008462774,0.001052735,0.000712447,0.002108961],"category_scores_gemma":[0.001391747,0.0004100734,0.0004514703,0.000499096,0.001331349,0.00202341,0.002581134,0.001230184,0.0004932464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007245564,"about_ca_system_score_gemma":0.0009870261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003190871,"about_ca_topic_score_gemma":0.0004906597,"domain_scores_codex":[0.9990232,0.0003060149,0.00005391186,0.0001916395,0.0003407848,0.00008431958],"domain_scores_gemma":[0.9986577,0.0003464081,0.0002398291,0.0005262894,0.0001678502,0.00006184588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003816103,0.000226528,0.001620146,0.0003742486,0.0001484575,0.0003238631,0.0006326326,0.03376554,0.523719,0.3434505,0.001705214,0.09365225],"study_design_scores_gemma":[0.00007376666,0.000376128,0.0009779875,0.00004183902,0.00005185685,0.0004257791,0.00008369579,0.2935941,0.6173402,0.07583869,0.01091589,0.0002799799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3619086,0.0004818584,0.6227641,0.0005047933,0.0000886909,0.0002528796,0.0002590093,0.001034693,0.01270532],"genre_scores_gemma":[0.7659139,0.0002733611,0.2281216,0.0001676191,0.00002960188,0.0002625496,0.0001754627,0.00008287728,0.004972945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002108961,"threshold_uncertainty_score":0.007055163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010387270596621,"score_gpt":0.3450130392376066,"score_spread":0.3249091665316404,"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."}}