{"id":"W4410361001","doi":"10.1364/aop.533504","title":"Optimization methods for integrated and programmable photonics in next-generation classical and quantum smart communication and signal processing systems","year":2025,"lang":"en","type":"article","venue":"Advances in Optics and Photonics","topic":"Optical Network Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of British Columbia","funders":"Australian Research Council; Horizon 2020 Framework Programme; Conseil Régional Aquitaine; Mitacs; Canada Research Chairs; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; European Commission; Academy of Finland; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Photonics; Signal processing; Computer science; Electronic engineering; Quantum; Digital signal processing; Engineering; Physics; Optoelectronics; 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":[0.001876652,0.0009520199,0.001140279,0.000711903,0.0003901127,0.001213049,0.0007145471,0.001055545,0.0017349],"category_scores_gemma":[0.001494356,0.0004963914,0.001252593,0.0006922517,0.001355571,0.001170841,0.001032182,0.001729997,0.0003678029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110074,"about_ca_system_score_gemma":0.001154978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563847,"about_ca_topic_score_gemma":0.00135952,"domain_scores_codex":[0.9993188,0.0003580469,0.00003496656,0.00007347812,0.0001736223,0.00004100382],"domain_scores_gemma":[0.9995769,0.0002677619,0.00005164494,0.00002822228,0.00006114101,0.00001442025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002898058,0.00004730176,0.0002651171,0.000609551,0.000131177,0.00006255729,0.00007305315,0.4908952,0.00418639,0.462526,0.002257976,0.03891651],"study_design_scores_gemma":[0.00001624609,0.0000345099,0.0001975712,0.0001209742,0.0000245805,0.00003510641,0.00002551764,0.8217081,0.00116645,0.1611681,0.01547815,0.00002472861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004476899,0.01650217,0.9673635,0.001292789,0.000186483,0.00004995217,0.00004579758,0.0001011142,0.009981326],"genre_scores_gemma":[0.2516004,0.03932177,0.6918675,0.0009351141,0.0006891204,0.0006806511,0.0001685647,0.0004393528,0.01429752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001876652,"threshold_uncertainty_score":0.009924829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234986343869909,"score_gpt":0.3100198673747671,"score_spread":0.287670003936068,"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."}}