{"id":"W2934743019","doi":"10.1088/2058-9565/ab79b1","title":"Quantum circuit optimizations for NISQ architectures","year":2020,"lang":"en","type":"article","venue":"Quantum Science and Technology","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Perimeter Institute; University of Waterloo","funders":"National Research Council Canada; Canadian Institute for Advanced Research","keywords":"Quantum circuit; Quantum computer; Quantum algorithm; Quantum Fourier transform; Quantum gate; Quantum error correction; Qubit; Quantum; Quantum phase estimation algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003170822,0.0002903856,0.0002427861,0.0004120327,0.0005218748,0.0005555535,0.0006339759,0.0003146197,0.01110944],"category_scores_gemma":[0.0009506738,0.0001320999,0.0003227662,0.0003911856,0.000575814,0.0008496633,0.0005755246,0.000632133,0.0007785073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114455,"about_ca_system_score_gemma":0.0007803444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357854,"about_ca_topic_score_gemma":0.004117352,"domain_scores_codex":[0.9997178,0.00006240794,0.00001494423,0.00003659862,0.0001043463,0.00006392752],"domain_scores_gemma":[0.9996618,0.0001363557,0.00002198417,0.00008352987,0.00008232801,0.00001407086],"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":[0.0003504474,0.0001742235,0.0009853834,0.0003545483,0.00004104938,0.0002480349,0.0001855376,0.242849,0.0471313,0.579599,0.01057791,0.1175036],"study_design_scores_gemma":[0.00008043394,0.0001455478,0.0003896227,0.00003673488,0.0000267824,0.00006118368,0.0001057611,0.7003248,0.0300107,0.2533305,0.0154656,0.00002231105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3870789,0.0006820821,0.4857713,0.00176562,0.0002846282,0.0002728667,0.0006766057,0.003953281,0.1195148],"genre_scores_gemma":[0.9222356,0.0001087268,0.06946699,0.0001712936,0.00002243341,0.0001271526,0.0002507933,0.0002176096,0.00739941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01110944,"threshold_uncertainty_score":0.03716481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790373739786528,"score_gpt":0.2448356240538389,"score_spread":0.2269318866559736,"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."}}