{"id":"W4385360958","doi":"10.1364/cleo_fs.2023.fm4e.2","title":"Generation of frequency-bin-encoded ququarts in a programmable silicon photonic chip","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bin; Photonics; Chip; Silicon chip; Silicon photonics; Dimension (graph theory); Computer science; Silicon; Optoelectronics; Electronic engineering; Physics; Engineering; Telecommunications; Mathematics; Algorithm","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":[0.0002099395,0.000167833,0.0002351737,0.0001838733,0.0003355858,0.0004855868,0.0007406224,0.0004926475,0.002297517],"category_scores_gemma":[0.0002805604,0.0001984769,0.0001447039,0.0003095138,0.0005848558,0.0008006286,0.000551549,0.0005740044,0.0003250811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003179,"about_ca_system_score_gemma":0.00038774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003315608,"about_ca_topic_score_gemma":0.0008151635,"domain_scores_codex":[0.9998702,0.00001568614,0.00000719699,0.00003623376,0.00004730688,0.00002342434],"domain_scores_gemma":[0.9998614,0.00005283833,0.00001932183,0.00002539252,0.00001968686,0.0000213855],"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":[0.0002766072,0.0002004479,0.0005998114,0.0002137415,0.00003616614,0.0003150098,0.0001385663,0.01539182,0.8156467,0.1316051,0.002649345,0.03292678],"study_design_scores_gemma":[0.0001453265,0.0005114965,0.0005737015,0.00002849692,0.0000288114,0.0001975716,0.00005694546,0.2907795,0.6699145,0.02159086,0.01607455,0.00009818344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7308364,0.00101899,0.2357018,0.001586705,0.0008029572,0.0001201862,0.0004781561,0.00124975,0.0282051],"genre_scores_gemma":[0.9176009,0.0002785802,0.0778745,0.0002427935,0.00003349775,0.00005695447,0.0000851299,0.00003972675,0.003788104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002297517,"threshold_uncertainty_score":0.007685959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05432886673663906,"score_gpt":0.2733778235566455,"score_spread":0.2190489568200065,"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."}}