{"id":"W4290996630","doi":"10.1109/icc45855.2022.9838664","title":"Optical Parametric Amplifier Detection for Quantum Illumination","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Quantum entanglement; Physics; Detector; Quantum sensor; Quantum amplifier; SIGNAL (programming language); Optical parametric amplifier; Optical amplifier; Quantum; Quantum optics; Parametric statistics; Amplifier; Noise (video); Detection theory; Radar; Photonics; Optics; Computer science; Optoelectronics; Quantum information; Quantum mechanics; Telecommunications; Quantum error correction; Quantum network; Artificial intelligence; Laser; Mathematics; Statistics","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":[0.0005210357,0.0004379874,0.0004443321,0.0003802257,0.0004381604,0.001099497,0.0008424962,0.001150125,0.002554611],"category_scores_gemma":[0.001835855,0.0002354798,0.0002506691,0.000335746,0.00111374,0.001607815,0.001140049,0.001571676,0.0005941726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751232,"about_ca_system_score_gemma":0.0004717134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002546476,"about_ca_topic_score_gemma":0.0002694573,"domain_scores_codex":[0.9992611,0.0001492777,0.00002479745,0.0001586017,0.0003015432,0.0001047023],"domain_scores_gemma":[0.9992614,0.0003558055,0.00009118294,0.0001263156,0.0001071567,0.00005804377],"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":[0.0002083622,0.0000896807,0.0007886338,0.0002261656,0.00002167907,0.0002232076,0.0001177576,0.006710776,0.5968944,0.3521989,0.001086241,0.04143412],"study_design_scores_gemma":[0.00005847576,0.000322172,0.0007857042,0.00006542669,0.00003848357,0.000950956,0.00004745937,0.348817,0.5509681,0.0733107,0.02452516,0.0001103994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1461441,0.002761352,0.8177316,0.001641736,0.0004033193,0.000122939,0.00009229748,0.0007045848,0.03039809],"genre_scores_gemma":[0.8756874,0.0009880828,0.1186282,0.000318859,0.000103307,0.00009757824,0.00003336787,0.00004297406,0.004100261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002554611,"threshold_uncertainty_score":0.008546054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083437097020062,"score_gpt":0.3472854790433085,"score_spread":0.2389417693413024,"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."}}