{"id":"W2041069405","doi":"10.1117/12.625657","title":"Quantum algorithm for designing multi-reflector resonant bandpass filters","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Band-pass filter; Reflector (photography); Bandwidth (computing); Transmittance; Prototype filter; Computer science; Algorithm; Operator (biology); Spectrum (functional analysis); Quantum; Optical filter; Optics; Electronic engineering; Physics; Low-pass filter; Engineering; Telecommunications; Quantum mechanics; Light source","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":[0.0005433386,0.0004539685,0.0005945644,0.0005430184,0.0005340857,0.0005966025,0.0008730614,0.0006006864,0.003954921],"category_scores_gemma":[0.0006008072,0.0003040209,0.0005374178,0.0005287701,0.0004239624,0.0008659245,0.0005867184,0.000518713,0.0007811647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006246191,"about_ca_system_score_gemma":0.0008169572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279445,"about_ca_topic_score_gemma":0.001370694,"domain_scores_codex":[0.9997682,0.0000549359,0.0000131806,0.00003674856,0.0001012187,0.0000256939],"domain_scores_gemma":[0.9998753,0.00004516923,0.00001300262,0.00001707331,0.00004142338,0.000007923189],"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":[0.000120014,0.0001204385,0.0004870788,0.0002544868,0.00004622912,0.0001662243,0.0002149628,0.4471418,0.0355495,0.3067557,0.003480969,0.2056625],"study_design_scores_gemma":[0.00003529839,0.00003844055,0.00005150674,0.000007855941,0.000008707651,0.00004039893,0.00001648424,0.9700078,0.003801561,0.02343763,0.00254246,0.0000117504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003352991,0.00003099159,0.9944302,0.00003054841,0.000007640292,0.00003032418,0.00001322781,0.0001175427,0.001986458],"genre_scores_gemma":[0.1312188,0.0001587045,0.864373,0.00007257968,0.00001465213,0.0002933105,0.00009213564,0.00008313432,0.003693766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003954921,"threshold_uncertainty_score":0.0132305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703822281754482,"score_gpt":0.2391712572154971,"score_spread":0.2221330343979523,"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."}}