{"id":"W6966707145","doi":"10.48550/arxiv.2101.08946","title":"Generation and verification of 27-qubit Greenberger-Horne-Zeilinger states in a superconducting quantum computer","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qubit; Multipartite; Quantum; Measure (data warehouse); Quantum error correction; Quantum entanglement; Fidelity; Quantum computer; Quantum state","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051147,0.0001846857,0.0002399585,0.0002177681,0.000470707,0.0004549896,0.0004776933,0.0003783989,0.001685092],"category_scores_gemma":[0.002515248,0.0001568274,0.0001454784,0.0002814619,0.0009200979,0.000575036,0.0005067692,0.0005027578,0.000163721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484161,"about_ca_system_score_gemma":0.000552355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008861725,"about_ca_topic_score_gemma":0.001755826,"domain_scores_codex":[0.9993855,0.0002092728,0.0000273112,0.00008817206,0.0002006369,0.00008919532],"domain_scores_gemma":[0.9985669,0.0006340026,0.0001562041,0.0003571625,0.0001701061,0.0001156832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00197955,0.0005331024,0.01498296,0.0002380177,0.0001203593,0.001060074,0.0008946174,0.1089374,0.7430505,0.08847675,0.002104424,0.03762231],"study_design_scores_gemma":[0.000106986,0.001267945,0.003659863,0.00001451016,0.00002437048,0.0001162417,0.0001410678,0.2504076,0.7340899,0.007837342,0.002281484,0.0000527153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906517,0.00002423435,0.00756886,0.0001022415,0.0000158924,0.00002183688,0.00005373688,0.0001660514,0.001395409],"genre_scores_gemma":[0.9906843,0.00001150746,0.008666261,0.00001431489,0.000002633412,0.00001126592,0.00004920958,0.00001540512,0.0005452183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685092,"threshold_uncertainty_score":0.005637169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07071989829479042,"score_gpt":0.199165840403165,"score_spread":0.1284459421083745,"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."}}