{"id":"W4221143161","doi":"10.48550/arxiv.2201.07792","title":"Characterizing Long-Range Entanglement in a Mixed State Through an Emergent Order on the Entangling Surface","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Institut Périmètre de physique théorique; Aspen Center for Physics; Ministry of Colleges and Universities; National Science Foundation","keywords":"Quantum entanglement; Physics; Topological order; Topological entropy in physics; Quantum mechanics; Topology (electrical circuits); Negativity effect; Multipartite entanglement; Symmetry protected topological order; Squashed entanglement; Theoretical physics; Topological quantum number; Mathematics; Quantum; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000205463,0.000200483,0.0002195974,0.0007048643,0.0005323447,0.001161669,0.0003083316,0.0004209711,0.00132178],"category_scores_gemma":[0.0009396376,0.0001657661,0.0001901771,0.000341941,0.002113759,0.001707289,0.0007230162,0.0004898139,0.0001022231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134027,"about_ca_system_score_gemma":0.0001376769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000244677,"about_ca_topic_score_gemma":0.0003360347,"domain_scores_codex":[0.9998893,0.00002784618,0.00000519922,0.0000219109,0.00003283731,0.00002300352],"domain_scores_gemma":[0.9994738,0.0001991645,0.0001296344,0.00008692418,0.00004589769,0.00006471698],"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":[0.0001693488,0.0001057555,0.006300489,0.00009355968,0.00002698078,0.0006119043,0.0005611288,0.02010958,0.127529,0.8348892,0.0004188308,0.00918427],"study_design_scores_gemma":[0.00002826608,0.0001538716,0.007938253,0.00001930497,0.00001849744,0.0004987286,0.000399043,0.2577972,0.03956576,0.6920211,0.0015066,0.00005334866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631543,0.00007123124,0.0304949,0.0001222873,0.00001222735,0.00001067874,0.00003889187,0.00007235367,0.006023096],"genre_scores_gemma":[0.9963889,0.00003309677,0.002821112,0.00001331777,0.000006849963,0.00000902171,0.0000267574,0.00001535652,0.0006856107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00132178,"threshold_uncertainty_score":0.00442183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06454378471207829,"score_gpt":0.2235616578304565,"score_spread":0.1590178731183782,"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."}}