{"id":"W4393174539","doi":"10.1049/icp.2023.2404","title":"Scalable multi-transverse-mode quantum processor in silicon photonics","year":2023,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interferometry; Photonics; Mode (computer interface); Silicon photonics; Scalability; Computer science; Quantum; Quantum computer; Optoelectronics; Physics; Optics; Quantum mechanics","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"],"consensus_categories":[],"category_scores_codex":[0.0004317795,0.0002759757,0.0003271028,0.0002439305,0.0001949489,0.0004952511,0.001391994,0.0001542258,0.00001342546],"category_scores_gemma":[0.00007218085,0.0002469144,0.0000799738,0.001941995,0.00007125342,0.0008831165,0.000411256,0.0004591331,0.000118968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000518288,"about_ca_system_score_gemma":0.0001591568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009190701,"about_ca_topic_score_gemma":0.00005898633,"domain_scores_codex":[0.9975353,0.00001503588,0.0004013928,0.0007799854,0.0004065335,0.0008617491],"domain_scores_gemma":[0.9991726,0.00004927256,0.0001318618,0.0002289344,0.00024738,0.0001699146],"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":[0.0003053744,0.002205722,0.135398,0.003838745,0.000217862,0.0008516004,0.06032965,0.03416102,0.226831,0.3193365,0.01742281,0.1991017],"study_design_scores_gemma":[0.0005926952,0.00007255327,0.002354721,0.000249256,0.000003119356,0.00001114749,0.000300554,0.9878904,0.004464275,0.002377633,0.00134496,0.00033874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687291,0.0001432128,0.02460349,0.002258665,0.0006473685,0.0006436855,0.000003636555,0.001212558,0.001758327],"genre_scores_gemma":[0.9940825,0.0001900533,0.004901086,0.000164362,0.00005690668,0.00006048483,0.000002824554,0.00002149641,0.0005203557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9537293,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112724267646373,"score_gpt":0.2895613263055594,"score_spread":0.2484340836290957,"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."}}