{"id":"W2224187407","doi":"10.1103/physrevlett.116.230501","title":"Tomography is Necessary for Universal Entanglement Detection with Single-Copy Observables","year":2016,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Guelph; Perimeter Institute; University of Waterloo","funders":"National Key Research and Development Program of China; Industry Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Quantum entanglement; Transpose; Observable; Physics; Quantum mechanics; Qubit; Quantum tomography; State (computer science); Theoretical physics; Quantum state; Quantum; Computer science; Statistical physics; 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":[0.002694746,0.0003530242,0.0008102888,0.0005075904,0.0007256676,0.001336893,0.001150235,0.001281437,0.002382193],"category_scores_gemma":[0.02282804,0.0005145157,0.0005435596,0.0004115441,0.007524374,0.006841626,0.003121517,0.002342617,0.000299692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006448578,"about_ca_system_score_gemma":0.0008534669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588285,"about_ca_topic_score_gemma":0.000243379,"domain_scores_codex":[0.9979295,0.0005591918,0.0001074491,0.0004945588,0.000589255,0.0003201839],"domain_scores_gemma":[0.9792698,0.01425569,0.001836967,0.003421501,0.0007280274,0.0004880409],"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":[0.0004969648,0.0001725333,0.004666236,0.0002963124,0.00004954603,0.000732467,0.0007929489,0.03205872,0.06358085,0.8783816,0.0008824472,0.01788938],"study_design_scores_gemma":[0.0001122847,0.0002666279,0.001763912,0.00005959175,0.00002872529,0.0006162325,0.000279019,0.3366502,0.08209958,0.5763605,0.001688813,0.00007448457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5446295,0.000261452,0.4376938,0.001677242,0.00007879758,0.0001300302,0.0001570079,0.0008494101,0.01452284],"genre_scores_gemma":[0.9858262,0.00005234903,0.01343905,0.0001219901,0.000009491157,0.00004853893,0.00003312752,0.00003176956,0.0004374528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002694746,"threshold_uncertainty_score":0.01425135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884860152073296,"score_gpt":0.2446577128053444,"score_spread":0.2258091112846115,"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."}}