{"id":"W2923850991","doi":"10.1103/physrevlett.122.120501","title":"Universal <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>N</mml:mi></mml:math>-Partite <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>d</mml:mi></mml:math>-Level Pure-State Entanglement Witness Based on Realistic Measurement Settings","year":2019,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"H2020 Marie Skłodowska-Curie Actions; Australian Research Council; Horizon 2020 Framework Programme; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Natural Sciences and Engineering Research Council of Canada; European Commission; 1000 Talents Sichuan Program; John Templeton Foundation","keywords":"Quantum entanglement; Multipartite; Projection (relational algebra); Quantum; Multipartite entanglement; Computer science; Quantum computer; Quantum state; Entanglement witness; Algorithm; Theoretical computer science; Discrete mathematics; Physics; Quantum mechanics; Mathematics; Quantum discord; Squashed entanglement","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":[0.002171314,0.0008983124,0.000727497,0.001309144,0.001109106,0.002737292,0.002176053,0.001559974,0.04326386],"category_scores_gemma":[0.004823203,0.000868005,0.0008485019,0.001311341,0.002780167,0.00455396,0.005167454,0.002670902,0.01161477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163688,"about_ca_system_score_gemma":0.00131799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063599,"about_ca_topic_score_gemma":0.002304278,"domain_scores_codex":[0.9984573,0.0003192632,0.0001197902,0.0003651511,0.0005594114,0.0001791374],"domain_scores_gemma":[0.9971252,0.0006809689,0.000187963,0.00155785,0.0003398627,0.0001082313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002418287,0.0001563603,0.0006972075,0.0008688775,0.0000683498,0.0003613633,0.000610714,0.005550476,0.07206326,0.7377378,0.05016348,0.1314803],"study_design_scores_gemma":[0.0001285997,0.0001544012,0.001154872,0.0002577817,0.0000524088,0.0007128544,0.0002844992,0.06086018,0.2036262,0.3593367,0.3732402,0.0001913447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01563446,0.0004101131,0.831835,0.001605906,0.0003275344,0.0006349678,0.004328994,0.01175356,0.1334695],"genre_scores_gemma":[0.2837224,0.001323228,0.6544386,0.001868458,0.0001656682,0.001377438,0.008430119,0.007165088,0.04150911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04326386,"threshold_uncertainty_score":0.144732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150880865890029,"score_gpt":0.2490262567381587,"score_spread":0.2275174480792584,"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."}}