{"id":"W4387249895","doi":"10.1364/optica.493732","title":"Quantum optical memory for entanglement distribution","year":2023,"lang":"en","type":"article","venue":"Optica","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Air Force Office of Scientific Research; National Research Council Canada; U.S. Department of Energy; National Science Foundation","keywords":"Quantum sensor; Quantum network; Quantum entanglement; Quantum imaging; Quantum technology; Quantum information; Physics; Quantum information science; Qubit; Quantum; Quantum mechanics; Open quantum system","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":[0.0004867008,0.0003939562,0.000491418,0.0005474876,0.000698972,0.001284452,0.000909241,0.001499928,0.006475335],"category_scores_gemma":[0.0008067645,0.0002146031,0.0002763744,0.0007541228,0.002001892,0.003240329,0.001167414,0.001844916,0.001142976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009974744,"about_ca_system_score_gemma":0.0005086414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003382847,"about_ca_topic_score_gemma":0.0003965861,"domain_scores_codex":[0.999712,0.00006649597,0.00001568009,0.00006157866,0.0001047909,0.00003931195],"domain_scores_gemma":[0.9997783,0.0001039997,0.00003002923,0.00003944762,0.00003571693,0.00001248901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002159248,0.00003207332,0.00005588401,0.001054912,0.00001409892,0.0001120586,0.0001346228,0.0005705706,0.01425168,0.9052673,0.008790843,0.06969444],"study_design_scores_gemma":[0.00002028579,0.0001324767,0.0001732179,0.0005328926,0.00002967289,0.0006562741,0.0000862163,0.004719666,0.03927115,0.2139724,0.7403498,0.00005591896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02352474,0.6181313,0.1258433,0.009776227,0.004674504,0.0002778182,0.0003924553,0.0005808275,0.2167988],"genre_scores_gemma":[0.5238034,0.3646939,0.06166726,0.004822877,0.003225341,0.0005856834,0.0002907922,0.0001445631,0.04076621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006475335,"threshold_uncertainty_score":0.02166212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829417677235521,"score_gpt":0.2630040697030852,"score_spread":0.2447098929307299,"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."}}