{"id":"W617120018","doi":"10.1103/physrevlett.115.140501","title":"Telecom-Wavelength Atomic Quantum Memory in Optical Fiber for Heralded Polarization Qubits","year":2015,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum optics and atomic interactions","field":"Physics and Astronomy","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Canadian Institute for Advanced Research","keywords":"Qubit; Physics; Optical fiber; Optoelectronics; Wavelength; Polarization (electrochemistry); Quantum; Quantum mechanics; Telecommunications; Optics; Computer science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001977882,0.0001962708,0.0004045375,0.00004504094,0.00005119787,0.00003842306,0.0001470683,0.00001256432,0.00007383744],"category_scores_gemma":[0.00003934231,0.0001755543,0.0002082055,0.0001793258,0.00003786129,0.0001856474,0.0000361298,0.0002344946,0.0002462905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007455411,"about_ca_system_score_gemma":0.00006659588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005722611,"about_ca_topic_score_gemma":0.00000106769,"domain_scores_codex":[0.9988281,0.00006236085,0.000336652,0.0002843054,0.0001582108,0.0003304186],"domain_scores_gemma":[0.9993056,0.0001558011,0.0001103568,0.0002166319,0.00007393216,0.0001376852],"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":[0.000305758,0.004617695,0.00497835,0.002230148,0.0007850272,0.00002348495,0.001940656,0.002624152,0.08703852,0.5992208,0.1526175,0.143618],"study_design_scores_gemma":[0.008025374,0.0004437169,0.002953001,0.004515965,0.0007163952,0.00001280118,0.0003959704,0.7217506,0.009728822,0.04689855,0.2015047,0.00305412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985915,0.0002411385,0.003639726,0.007996457,0.0002295468,0.0007719089,0.0000282361,0.00003029497,0.001147665],"genre_scores_gemma":[0.9953146,0.00002526755,0.0005831867,0.003209718,0.0004798519,0.0001439796,0.00009729128,0.0000325609,0.0001135364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7191265,"threshold_uncertainty_score":0.7158896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419185218953273,"score_gpt":0.3058968505313622,"score_spread":0.2817049983418295,"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."}}