{"id":"W3121781786","doi":"10.1007/jhep01(2021)092","title":"Purification complexity without purifications","year":2021,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Institut Périmètre de physique théorique; Government of Canada; Ministero dello Sviluppo Economico; Innovation, Science and Economic Development Canada","keywords":"Metric (unit); Physics; Quantum state; TRACE (psycholinguistics); Quantum; Measure (data warehouse); Gaussian; State (computer science); Quantum mechanics; Pure mathematics; Statistical physics; Mathematics; Algorithm; Computer science; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00209687,0.0006760661,0.0009691115,0.001221211,0.001430558,0.003239609,0.001126859,0.001158038,0.008069492],"category_scores_gemma":[0.01311664,0.0004056583,0.001011949,0.001192986,0.003612203,0.009223582,0.004145539,0.003099879,0.0008100626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990433,"about_ca_system_score_gemma":0.001792452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007386876,"about_ca_topic_score_gemma":0.0004978561,"domain_scores_codex":[0.9957283,0.001047307,0.0002428678,0.0007119586,0.001766659,0.0005029287],"domain_scores_gemma":[0.9879301,0.005270944,0.0009156615,0.003908182,0.001485837,0.0004893236],"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":[0.00004696897,0.00003107142,0.0004657806,0.00009523782,0.00002144158,0.00006444618,0.0001130489,0.009185984,0.003218501,0.9767745,0.001177651,0.00880535],"study_design_scores_gemma":[0.00001103126,0.00004494762,0.0005974647,0.00002187403,0.00001846639,0.0001696011,0.00004501257,0.0961249,0.005635875,0.8938358,0.003458772,0.00003618069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2191213,0.001336181,0.6995143,0.003389239,0.0003155726,0.0002077315,0.0008313566,0.0006660055,0.07461832],"genre_scores_gemma":[0.9511762,0.0004775288,0.03802366,0.0003986299,0.0002254443,0.0001436223,0.0003568977,0.0001666471,0.009031471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008069492,"threshold_uncertainty_score":0.02699512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766977781835336,"score_gpt":0.2481077437577112,"score_spread":0.2204379659393579,"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."}}