{"id":"W4296591980","doi":"10.1103/physrevlett.129.120501","title":"Coherence as a Resource for Shor’s Algorithm","year":2022,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas; Pacific Institute for the Mathematical Sciences","keywords":"Coherence (philosophical gambling strategy); Computer science; Algorithm; Quantum; Speedup; Quantum computer; Computation; Protocol (science); Factoring; Theoretical computer science; Quantum mechanics; Physics; Parallel computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003878605,0.0001742512,0.0003168099,0.00003618264,0.0003501259,0.00006145357,0.001238017,0.000004362368,0.00001633084],"category_scores_gemma":[0.00004928656,0.0001531679,0.0002468199,0.0004449451,0.0000393112,0.00007529935,0.0006090299,0.0003068408,0.00003068456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004373309,"about_ca_system_score_gemma":0.00003869425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008095976,"about_ca_topic_score_gemma":6.913391e-8,"domain_scores_codex":[0.9983043,0.000167564,0.0002186203,0.0005147262,0.0004300667,0.0003646876],"domain_scores_gemma":[0.9989226,0.0002869001,0.0001157831,0.000549287,0.00002287758,0.0001025153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004447045,0.0001892342,0.000002933619,0.00034634,0.00003548786,0.00005104969,0.000514139,0.005700138,0.001771779,0.005110464,0.07526988,0.9110041],"study_design_scores_gemma":[0.0001734562,0.000191902,0.00001387935,0.0001763141,0.00001709843,0.00005339548,0.000004451221,0.5434211,0.0001083317,0.002475292,0.4531002,0.0002645704],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.02406333,0.009829222,0.8597529,0.1028597,0.0006043754,0.001826023,0.00004201549,0.0005737735,0.0004486266],"genre_scores_gemma":[0.1220856,0.0003301999,0.3427188,0.5297247,0.002185932,0.002404094,0.00007841364,0.000133433,0.000338811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9107395,"threshold_uncertainty_score":0.6246004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327580379685409,"score_gpt":0.2776511418341346,"score_spread":0.2643753380372805,"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."}}