{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207729,0.0004619434,0.0005665181,0.0006720021,0.0006054069,0.001239677,0.0009020168,0.00105601,0.005043569],"category_scores_gemma":[0.003036315,0.0003312701,0.0007641893,0.0006981422,0.001424443,0.002409241,0.001252265,0.001305608,0.002018994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592211,"about_ca_system_score_gemma":0.0009132652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001807254,"about_ca_topic_score_gemma":0.0001644128,"domain_scores_codex":[0.9979877,0.0007992029,0.0001336229,0.0002889155,0.0006536432,0.0001369378],"domain_scores_gemma":[0.9988845,0.0003987216,0.000116401,0.0003562738,0.0001794829,0.00006462981],"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":[0.0002661902,0.00008488626,0.0003987414,0.0001071709,0.00003312643,0.0002485075,0.0001039566,0.03154249,0.01851691,0.8763985,0.004066447,0.06823297],"study_design_scores_gemma":[0.0001946221,0.0004466749,0.0003641283,0.00004673215,0.00005016996,0.0009830977,0.00003175658,0.5751587,0.06531215,0.3009747,0.05630216,0.0001351812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01339786,0.0001943411,0.9715683,0.0005626685,0.0002495975,0.0002010709,0.0001112706,0.001096024,0.01261894],"genre_scores_gemma":[0.4396308,0.0003857384,0.5410665,0.0007426858,0.0002819645,0.0005495506,0.0003707723,0.0003351139,0.01663677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005043569,"threshold_uncertainty_score":0.01687241,"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."}}