{"id":"W2972032089","doi":"10.22331/q-2020-05-25-269","title":"Quantum Natural Gradient","year":2020,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":439,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Mathematics; Tensor (intrinsic definition); Diagonal; Quantum; Quantum algorithm; Generalization; Metric (unit); Gradient descent; Pure mathematics; Mathematical analysis; Quantum mechanics; Computer science; Physics; Geometry; Artificial intelligence; Artificial neural network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001496912,0.0002318787,0.0002449207,0.00006709765,0.0002059472,0.0001893306,0.001267093,0.00005382634,0.00001336732],"category_scores_gemma":[0.00007997621,0.0001916595,0.0001474666,0.0005801668,0.00005493229,0.0002066358,0.0004232312,0.0004088335,0.0002794288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000194331,"about_ca_system_score_gemma":0.00005609294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001762121,"about_ca_topic_score_gemma":9.62258e-7,"domain_scores_codex":[0.9981692,0.00007841511,0.000272886,0.0006116577,0.0003666579,0.0005011368],"domain_scores_gemma":[0.9990031,0.00008815999,0.00009464896,0.0004759766,0.00005462876,0.0002835088],"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":[0.00002749468,0.0001370437,0.0003133089,0.00007632652,0.00006438151,0.0003403173,0.005828911,0.002568929,0.003676829,0.8739985,0.02119239,0.09177563],"study_design_scores_gemma":[0.0002566395,0.0002056973,0.0008911077,0.00001665597,0.000003797133,0.00003898023,0.00002623378,0.9656003,0.000473788,0.008211734,0.02399094,0.0002841622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4379434,0.001271424,0.5177107,0.03735471,0.003160373,0.0002770304,0.000006014483,0.001587613,0.000688742],"genre_scores_gemma":[0.9843058,0.000009148804,0.01184394,0.003380684,0.0003964097,0.000004390374,0.000003403367,0.00001793221,0.00003830589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9630314,"threshold_uncertainty_score":0.7815647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467320377950908,"score_gpt":0.22896044920491,"score_spread":0.2142872454254009,"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."}}