{"id":"W3217658432","doi":"10.1103/physrevlett.129.260404","title":"Entanglement-Asymmetry Correspondence for Internal Quantum Reference Frames","year":2022,"lang":"en","type":"preprint","venue":"Physical Review Letters","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Austrian Science Fund; John Templeton Foundation","keywords":"Reference frame; Quantum entanglement; Quantum discord; Quantum; Quantum state; Asymmetry; Quantization (signal processing); Quantum operation; Quantum capacity; Physics; Theoretical physics; Statistical physics; Quantum mechanics; Mathematics; Quantum network; Quantum dynamics; Computer science; Algorithm; Frame (networking)","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":[0.001853307,0.0003685362,0.0004198838,0.001387307,0.0009160274,0.002075476,0.0007423016,0.0007783029,0.003827355],"category_scores_gemma":[0.006404607,0.0002448096,0.0005023791,0.0008938778,0.002823087,0.006030312,0.001925662,0.001489344,0.0003111241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016032,"about_ca_system_score_gemma":0.0004217228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003892202,"about_ca_topic_score_gemma":0.0002018413,"domain_scores_codex":[0.9985902,0.0004023021,0.00008051414,0.0002343344,0.000516084,0.0001765982],"domain_scores_gemma":[0.9964849,0.001312383,0.000668777,0.0008236977,0.0004763638,0.0002339037],"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":[0.000003902505,0.000002688989,0.00005200846,0.000004764826,9.74701e-7,0.00001251223,0.00004039749,0.0006424984,0.0003789716,0.9979671,0.00006584857,0.0008282349],"study_design_scores_gemma":[0.000006182881,0.0000154692,0.0001913793,0.000008152659,0.000003432101,0.00005165214,0.00002967763,0.01372667,0.000814471,0.9839451,0.001198747,0.000009130858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.327251,0.0007534394,0.6048416,0.001167459,0.0002250257,0.00007306149,0.0003462018,0.0002323078,0.0651099],"genre_scores_gemma":[0.9651902,0.0002763656,0.03099968,0.0001373477,0.0001836676,0.00008625577,0.0001211077,0.00007078985,0.002934589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003827355,"threshold_uncertainty_score":0.01280379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601609881870686,"score_gpt":0.3484471526802977,"score_spread":0.3124310538615908,"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."}}