{"id":"W4312513140","doi":"10.1109/pn56061.2022.9908415","title":"Towards Large-Scale Silicon Photonic Programmable Optical Processors for Machine Learning and Optical Quantum Computing","year":2022,"lang":"en","type":"article","venue":"2022 Photonics North (PN)","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Photonics; Silicon photonics; Computer science; Ultrashort pulse; Silicon; Scale (ratio); Quantum computer; Optoelectronics; Quantum; Materials science; Physics; Optics; Laser","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001260805,0.0003847246,0.0005302174,0.0001396982,0.001769367,0.0004022808,0.001155375,0.0000919294,0.00003720075],"category_scores_gemma":[0.0001069007,0.0003697959,0.0002130847,0.0009494321,0.00009033641,0.0002557727,0.00287784,0.001304091,0.000003839591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387292,"about_ca_system_score_gemma":0.0002674781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005578947,"about_ca_topic_score_gemma":0.0001279234,"domain_scores_codex":[0.996097,0.0001523824,0.0005873747,0.00114231,0.0007316997,0.00128927],"domain_scores_gemma":[0.9984779,0.0003517587,0.0002422671,0.000463391,0.0001361922,0.0003284272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000814824,0.003669425,0.05555307,0.001702948,0.0006124363,0.000772687,0.01209884,0.5459461,0.00343673,0.0656028,0.001821657,0.3079685],"study_design_scores_gemma":[0.00101021,0.000768962,0.0004452827,0.00002332469,0.0000247627,0.0001279251,0.000153508,0.9620283,0.0005349546,0.0006248732,0.0337998,0.0004581536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928049,0.001805089,0.06644536,0.0007059827,0.0007851422,0.001277096,0.00002442743,0.0004958662,0.0004120641],"genre_scores_gemma":[0.9528235,0.00009266398,0.04580723,0.0003811362,0.000117953,0.0002150454,0.00008010295,0.00006825467,0.000414146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4160821,"threshold_uncertainty_score":0.9998754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168259193945004,"score_gpt":0.2492155734985828,"score_spread":0.2375329815591328,"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."}}