{"id":"W2364925156","doi":"","title":"The Simulation of Quantum Fourier Transform","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radio frequency; Qubit; Spins; Fourier transform; Spin (aerodynamics); Rotation (mathematics); Physics; Computer science; Quantum computer; Precession; Field (mathematics); RF power amplifier; Computational physics; Nuclear magnetic resonance; Quantum; Quantum mechanics; Telecommunications; Condensed matter physics; Amplifier; Bandwidth (computing); Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002890357,0.0002228991,0.0003896232,0.0002457003,0.0005712879,0.0006374235,0.0005867383,0.0007958239,0.003254234],"category_scores_gemma":[0.001183944,0.0001333863,0.0003935803,0.0002993776,0.0007817575,0.0009687224,0.0005081829,0.0005506353,0.0002921283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587336,"about_ca_system_score_gemma":0.0006565246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002630555,"about_ca_topic_score_gemma":0.00106148,"domain_scores_codex":[0.9998096,0.00006758091,0.000007040836,0.00002504837,0.00006135457,0.0000294538],"domain_scores_gemma":[0.9997347,0.0001439502,0.0000137743,0.00003958888,0.00004794387,0.00002003454],"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":[0.00005660939,0.00004353331,0.0007867659,0.00005805695,0.0000204764,0.0001256554,0.0001348512,0.5893429,0.003957646,0.3910126,0.001427626,0.0130333],"study_design_scores_gemma":[0.000005602265,0.000007363267,0.00003422815,0.000002266198,0.000001521517,0.00001200618,0.000006833798,0.9844111,0.0005870783,0.01381473,0.001114391,0.0000027907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1208867,0.0004532872,0.8374614,0.0009015379,0.0002425767,0.00008160838,0.0001358481,0.0004404403,0.03939656],"genre_scores_gemma":[0.8731328,0.0003199667,0.1183692,0.0001231972,0.00003866098,0.000188823,0.0001325323,0.00008881571,0.007606083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003254234,"threshold_uncertainty_score":0.01088649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005421718698045769,"score_gpt":0.2280191337788455,"score_spread":0.2225974150807997,"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."}}