{"id":"W2143531065","doi":"10.1103/physrevlett.98.090501","title":"Optimal Quantum Circuits for General Phase Estimation","year":2007,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Phase (matter); Measure (data warehouse); State (computer science); Rotation (mathematics); Simple (philosophy); Quantum; Quantum circuit; Polynomial; Quantum phase estimation algorithm; Electronic circuit; Amplitude; Physics; Applied mathematics; Quantum algorithm; Mathematics; Computer science; Quantum mechanics; Algorithm; Quantum error correction; Mathematical analysis; Geometry","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":[0.00216601,0.000794076,0.001119707,0.0007645211,0.0006230972,0.001269346,0.001609423,0.00130575,0.003379486],"category_scores_gemma":[0.007136844,0.0005062746,0.000552308,0.001117512,0.002365704,0.00304818,0.001969578,0.001330043,0.0003605851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171632,"about_ca_system_score_gemma":0.001576903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379098,"about_ca_topic_score_gemma":0.002281725,"domain_scores_codex":[0.9978541,0.0006793681,0.00009850103,0.000519694,0.0004939482,0.0003544972],"domain_scores_gemma":[0.9979711,0.001184621,0.0002753124,0.0003663256,0.0001474239,0.00005521472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003743629,0.00009062551,0.0004470488,0.0001588475,0.00005852104,0.00005913051,0.0001309051,0.3937505,0.006060912,0.5085037,0.001308266,0.08905715],"study_design_scores_gemma":[0.00006954891,0.00007656118,0.0001879154,0.00002376695,0.00003149168,0.00003684765,0.00002077756,0.7121345,0.00498604,0.2807641,0.001638614,0.00002981393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05617393,0.0004991852,0.935765,0.0004609045,0.00003542,0.00009590051,0.0001260175,0.0002979032,0.006545694],"genre_scores_gemma":[0.6840405,0.0004415879,0.3115088,0.0001817096,0.00007261274,0.0001885392,0.0001683841,0.00009860998,0.003299324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003379486,"threshold_uncertainty_score":0.01575637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023687208927152,"score_gpt":0.3266926698967947,"score_spread":0.3064557978075232,"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."}}