{"id":"W2038713182","doi":"10.1103/physreva.67.062311","title":"Pattern recognition on a quantum computer","year":2003,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Speedup; Quantum Fourier transform; Quantum; Computer science; Simple (philosophy); Quantum computer; Fourier transform; Task (project management); Quantum algorithm; Algorithm; Quantum sort; Exponential function; Quantum phase estimation algorithm; Theoretical computer science; Mathematics; Quantum error correction; Parallel computing; Physics; Quantum mechanics; Engineering; Mathematical analysis","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":[0.0003476691,0.0002219044,0.0004186831,0.0004843034,0.0005258083,0.001113028,0.0006242638,0.0007779548,0.006576482],"category_scores_gemma":[0.00155621,0.0001611664,0.0003715414,0.0006307614,0.001010205,0.002080092,0.0006928794,0.0006434715,0.0009418018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455377,"about_ca_system_score_gemma":0.0005868294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230133,"about_ca_topic_score_gemma":0.0008752584,"domain_scores_codex":[0.9997059,0.00008234325,0.00001679571,0.00006208296,0.00009877271,0.00003412234],"domain_scores_gemma":[0.9995475,0.0002018521,0.00001875618,0.0001460742,0.00006630824,0.00001953382],"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":[0.0001493495,0.00008572935,0.0004151363,0.0001622872,0.00005183043,0.0002149009,0.0001604552,0.0558418,0.02448043,0.8090973,0.005650071,0.1036907],"study_design_scores_gemma":[0.00005848066,0.0001129766,0.0005646083,0.00002958629,0.00002464725,0.0001640098,0.00006488968,0.5171376,0.007528452,0.4555776,0.01870693,0.00003015452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08165616,0.000854471,0.8748866,0.002743651,0.0004402439,0.0001236794,0.0002490868,0.0009834943,0.03806273],"genre_scores_gemma":[0.664569,0.001231895,0.319942,0.0004184723,0.0002190856,0.0001990875,0.0002821174,0.00007445927,0.01306402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006576482,"threshold_uncertainty_score":0.02200049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209281112414842,"score_gpt":0.2783849534225951,"score_spread":0.2562921422984467,"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."}}