{"id":"W2883727782","doi":"10.1007/jhep10(2018)011","title":"Circuit complexity for coherent states","year":2018,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Perimeter Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Périmètre de physique théorique; Ministry of Advanced Education; Simons Foundation; National Natural Science Foundation of China; Government of Canada; Government of Ontario; China Scholarship Council; Ministry of Advanced Education and Skills Development","keywords":"Coherent states; Quantum entanglement; Circuit complexity; State (computer science); Vacuum state; Scalar (mathematics); Computational complexity theory; Field (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001681065,0.0001188111,0.0002322636,0.00004473289,0.000154281,0.00009792046,0.0006676308,0.00002777702,0.000003640224],"category_scores_gemma":[0.00001060097,0.00009070411,0.000138373,0.0001747974,0.00009753792,0.0001657327,0.0001050261,0.0001095095,0.000002143369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002732605,"about_ca_system_score_gemma":0.00007667986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002698406,"about_ca_topic_score_gemma":0.000004550031,"domain_scores_codex":[0.9990525,0.00003909467,0.0002826872,0.0001475244,0.0002565786,0.0002215906],"domain_scores_gemma":[0.9988261,0.0001185063,0.0003397895,0.0002324155,0.0003892912,0.00009393562],"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":[0.00001267261,0.0001102095,0.0000125764,0.000008003897,0.00005735125,0.000006297659,0.0003098238,0.003151628,0.0001730295,0.8746549,0.0030513,0.1184522],"study_design_scores_gemma":[0.0004322414,0.0006301044,0.0002705057,0.00002956377,0.000009137966,0.00003772019,0.00000529343,0.1391981,0.005576096,0.8433523,0.01033618,0.0001227809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03690876,0.00005381263,0.961449,0.0004716234,0.0009696228,0.00002545182,0.000004672151,0.00002779286,0.00008930197],"genre_scores_gemma":[0.9232388,0.000007461439,0.07448135,0.0003805252,0.001835268,0.000001050797,0.000001877031,0.000009900241,0.00004375894],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8869676,"threshold_uncertainty_score":0.3698806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666212396941963,"score_gpt":0.2504948910206562,"score_spread":0.2238327670512366,"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."}}