{"id":"W3216662891","doi":"10.1109/qce52317.2021.00053","title":"Pseudo Quantum Random Number Generator with Quantum Permutation Pad","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quantropi (Canada)","funders":"","keywords":"Random permutation; Quantum; Random number generation; Permutation (music); Generator (circuit theory); Computer science; Physics; Quantum mechanics; Mathematics; Algorithm; Discrete mathematics; Power (physics); Symmetric group","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004935973,0.0006782063,0.0007880195,0.0001466706,0.0003170791,0.00143023,0.001517019,0.0003477488,0.0001336872],"category_scores_gemma":[0.00005371857,0.0005060112,0.0003111637,0.0004983221,0.00009185336,0.0002456184,0.001745223,0.001175309,0.0000862974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007443982,"about_ca_system_score_gemma":0.0007241385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002601231,"about_ca_topic_score_gemma":0.00003425801,"domain_scores_codex":[0.9959283,0.0003600797,0.0005925601,0.001643955,0.0008280969,0.0006469552],"domain_scores_gemma":[0.9971516,0.0002124892,0.0003574834,0.001607252,0.0004163184,0.0002549139],"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":[0.0003691342,0.00165693,0.004582538,0.001637727,0.001867892,0.003569047,0.02204259,0.5924932,0.003183249,0.2316856,0.01311426,0.1237978],"study_design_scores_gemma":[0.001201294,0.000079012,0.0007100809,0.0002579628,0.0000365087,0.0002513892,0.00009531369,0.9898961,0.0007484017,0.005361433,0.0005255822,0.0008369633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.365739,0.0001810779,0.6301052,0.001264626,0.001380032,0.0003058492,0.000006250634,0.0005150563,0.0005028912],"genre_scores_gemma":[0.7586576,0.00004992222,0.239451,0.0006664125,0.0005769765,0.00006378524,0.00008310924,0.00006117115,0.0003899242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3974029,"threshold_uncertainty_score":0.9997392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078064214243448,"score_gpt":0.2406866036257903,"score_spread":0.2299059614833558,"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."}}