{"id":"W1991714729","doi":"10.1109/cec.2012.6256419","title":"An algorithm to find quantum templates","year":2012,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Template; Computer science; Benchmark (surveying); Qubit; Electronic circuit; Algorithm; Quantum computer; Quantum algorithm; Quantum gate; Quantum; Identity (music); Quantum circuit; Theoretical computer science; Computer engineering; Quantum error correction; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004914629,0.0009145287,0.0006059766,0.001175356,0.001076923,0.001196908,0.001444316,0.001076259,0.01342704],"category_scores_gemma":[0.002510463,0.0005638172,0.001015828,0.0008268952,0.0007123778,0.002026963,0.001239295,0.001098597,0.003595469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007235621,"about_ca_system_score_gemma":0.001750683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326781,"about_ca_topic_score_gemma":0.00140197,"domain_scores_codex":[0.9993781,0.00009095309,0.00005387394,0.000175327,0.0002255841,0.00007611804],"domain_scores_gemma":[0.9993088,0.0002339244,0.00004954741,0.0001665472,0.0002101559,0.00003103352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000274387,0.0001785882,0.0009397294,0.0002796673,0.00008770044,0.0001753178,0.0001714642,0.0556271,0.02659874,0.1715137,0.01837842,0.7257752],"study_design_scores_gemma":[0.0002322867,0.0003734397,0.0005857262,0.0000785056,0.00009344667,0.0006233522,0.0001314115,0.6207954,0.06810453,0.2315796,0.0772986,0.0001037086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005862452,0.0001081155,0.9858909,0.0001820153,0.00007422614,0.0002016085,0.000186239,0.001798588,0.005695843],"genre_scores_gemma":[0.05178103,0.00009670654,0.9413504,0.0001054018,0.00002610973,0.0002688497,0.0005257515,0.0003000153,0.005545766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01342704,"threshold_uncertainty_score":0.04491794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245379417995544,"score_gpt":0.2640865020586996,"score_spread":0.2516327078787441,"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."}}