{"id":"W2232365808","doi":"10.1038/ncomms11202","title":"A multiplexed light-matter interface for fibre-based quantum networks","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum optics and atomic interactions","field":"Physics and Astronomy","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Defense Advanced Research Projects Agency; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Photonics; Photon; Computer science; Optoelectronics; Bandwidth (computing); Quantum; Quantum network; Multiplexing; Quantum imaging; Scalability; Quantum sensor; Quantum information science; Quantum technology; Quantum information; Physics; Optics; Telecommunications; Quantum entanglement; Open quantum system; Quantum mechanics","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":[0.0002985468,0.0002185502,0.0001615306,0.0003001939,0.0004549714,0.0005500692,0.000519124,0.000420116,0.002435204],"category_scores_gemma":[0.0003863263,0.0001219207,0.00009541882,0.0002349149,0.0004766669,0.001273445,0.0004808371,0.0003837861,0.0003482945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005960839,"about_ca_system_score_gemma":0.0002719619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003265513,"about_ca_topic_score_gemma":0.0007266406,"domain_scores_codex":[0.9998572,0.00002058748,0.000008470924,0.00002479932,0.00007174649,0.00001724871],"domain_scores_gemma":[0.999853,0.00004242252,0.00003239052,0.00003031668,0.00002166255,0.00002016572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001856157,0.0001109025,0.0004397353,0.00007942802,0.00001053342,0.0001759444,0.0001003088,0.00212661,0.9351933,0.045538,0.0007163109,0.01532345],"study_design_scores_gemma":[0.00004039246,0.0003377777,0.0006888687,0.00001289212,0.00001600767,0.0003285326,0.00003669087,0.04136346,0.9358591,0.005733239,0.01553789,0.00004517761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460352,0.001723029,0.1346663,0.0006524485,0.0002995963,0.0001917263,0.0002521633,0.001054907,0.01512453],"genre_scores_gemma":[0.9361628,0.0002424112,0.06062451,0.00006499653,0.00004423578,0.00006208511,0.00005298987,0.0000239176,0.002722126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002435204,"threshold_uncertainty_score":0.008146584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353135633138131,"score_gpt":0.3015925054400165,"score_spread":0.2880611491086352,"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."}}