{"id":"W2784176761","doi":"10.1038/s41534-018-0095-x","title":"16-qubit IBM universal quantum computer can be fully entangled","year":2018,"lang":"en","type":"article","venue":"npj Quantum Information","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"National Safety Academic Fund; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"IBM; Quantum computer; Qubit; State (computer science); One-way quantum computer; Quantum; Cluster state; Graph","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004246061,0.0003250523,0.0002811021,0.0003829523,0.000522954,0.0005148471,0.001158091,0.0001521896,0.00005389954],"category_scores_gemma":[0.00003544477,0.0002979758,0.0001338289,0.0007317316,0.0001537451,0.00179113,0.0004599626,0.0003248424,0.0003649032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786753,"about_ca_system_score_gemma":0.0001911443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002024753,"about_ca_topic_score_gemma":0.00004677872,"domain_scores_codex":[0.9977288,0.000100173,0.0005807362,0.0003498,0.0006187972,0.0006216753],"domain_scores_gemma":[0.9982786,0.00009696575,0.0003354536,0.0007267389,0.0003496738,0.0002125715],"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":[0.0001419069,0.0001833078,0.0004494368,0.0001123756,0.0001250311,0.00004540839,0.02409381,0.003255309,0.0002871675,0.5469326,0.04757679,0.3767969],"study_design_scores_gemma":[0.0007396893,0.0005220561,0.001350749,0.00004659027,0.000009057235,0.0001051444,0.0001472157,0.9085712,0.0004120711,0.003073778,0.08462841,0.0003939907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2479431,0.00001475601,0.7427346,0.003853519,0.002216723,0.0002916071,0.00001885341,0.0006788987,0.002247957],"genre_scores_gemma":[0.977133,0.000008629349,0.01880728,0.003188173,0.0006874876,0.000007124518,0.00007964556,0.00001676162,0.00007185964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9053159,"threshold_uncertainty_score":0.9999472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008504098342242656,"score_gpt":0.214183029809643,"score_spread":0.2056789314674003,"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."}}