{"id":"W4400587008","doi":"10.26634/jmat.13.1.20387","title":"Estimation of quantum entropies","year":2024,"lang":"en","type":"article","venue":"i-manager’s Journal on Mathematics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Quantum relative entropy; Quantum discord; Generalized relative entropy; Joint quantum entropy; Quantum entanglement; Entropy estimation; Quantum algorithm; Quantum; Entropy (arrow of time); Mathematics; Quantum information; Statistical physics; Algorithm; Computer science; Quantum mechanics; Physics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001436625,0.0005613602,0.0006362358,0.001601516,0.0004586142,0.001524524,0.001021115,0.0007876022,0.001588556],"category_scores_gemma":[0.01169195,0.0003864125,0.000376269,0.000713943,0.001573252,0.003199536,0.001790867,0.00138243,0.0003529359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008888164,"about_ca_system_score_gemma":0.0008159038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004031,"about_ca_topic_score_gemma":0.0006979513,"domain_scores_codex":[0.9990792,0.0003075666,0.00004993221,0.0001947108,0.0002829435,0.00008559564],"domain_scores_gemma":[0.9968118,0.002082945,0.0002776826,0.0004714062,0.0002847829,0.00007129533],"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":[0.0001266363,0.00004985325,0.00194606,0.0001197643,0.00007463503,0.00007816002,0.0001518984,0.2794151,0.01196014,0.6249446,0.001495119,0.079638],"study_design_scores_gemma":[0.000006026914,0.00001467028,0.0004579919,0.0000134807,0.000005957084,0.00003530161,0.00001629696,0.8392962,0.004843357,0.1545829,0.0007054887,0.00002237524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03398806,0.0002976643,0.9621685,0.0002605233,0.0000391117,0.00002140936,0.0001124342,0.0002084838,0.002903869],"genre_scores_gemma":[0.7836402,0.0006367629,0.2125657,0.0001253981,0.0001314175,0.0000655078,0.0003718969,0.0001352868,0.002327822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001601516,"threshold_uncertainty_score":0.007597685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123509798710335,"score_gpt":0.2618308964462879,"score_spread":0.2494799165752544,"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."}}