{"id":"W2752309193","doi":"10.1109/phosst.2017.8012694","title":"Optimized architectures for long distance quantum communication","year":2017,"lang":"en","type":"article","venue":"","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Repeater (horology); Computer science; Quantum; Encoding (memory); Quantum information science; Quantum network; Quantum channel; Quantum computer; Quantum information; Physics; Quantum mechanics; Quantum entanglement","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":[0.0002193605,0.0003185208,0.0003314679,0.0003097334,0.0004048379,0.0007542619,0.0006021896,0.0006342294,0.003211084],"category_scores_gemma":[0.0005389205,0.0001534592,0.0001236733,0.0003659417,0.0004794151,0.0010477,0.0004717154,0.0005890718,0.0006588707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007653554,"about_ca_system_score_gemma":0.0003994634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002994282,"about_ca_topic_score_gemma":0.0009786619,"domain_scores_codex":[0.9998399,0.00003698557,0.000007616647,0.00002488043,0.00005598546,0.00003452007],"domain_scores_gemma":[0.9997478,0.00007429288,0.000049132,0.00005249457,0.00005753641,0.00001872762],"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":[0.0002150611,0.00008053923,0.0004630458,0.0001706675,0.0000353075,0.0001223037,0.0001076208,0.1624894,0.1033895,0.700358,0.0024368,0.03013157],"study_design_scores_gemma":[0.00004261729,0.0002204367,0.0003723058,0.00002759128,0.00003183679,0.0001379784,0.00006967775,0.7311546,0.05085035,0.2047026,0.01234093,0.00004901899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5231706,0.003153003,0.4099982,0.001266061,0.0002140993,0.0001225602,0.0002466819,0.001378112,0.06045071],"genre_scores_gemma":[0.9458421,0.0005513642,0.04835177,0.00005400955,0.0000240004,0.00006636702,0.0000681575,0.00005000186,0.004992248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003211084,"threshold_uncertainty_score":0.01074213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088963900260547,"score_gpt":0.2853772259178122,"score_spread":0.2644875869152067,"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."}}