{"id":"W7162033346","doi":"10.20935/acadquant7841","title":"Quantum cryptographic dynamics: modeling cryptosystems via entropy operators","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quantropi (Canada)","funders":"","keywords":"Cryptosystem; Cryptography; Entropy (arrow of time); Cryptographic primitive; Quantum cryptography; Random number generation; Quantum computer","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":[0.001182436,0.0005927037,0.0005828003,0.0007626666,0.0009374669,0.002132502,0.00143306,0.001546274,0.003017452],"category_scores_gemma":[0.003199763,0.0004050327,0.0007470612,0.000582532,0.003830776,0.005690305,0.002124873,0.002227917,0.0005410332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269957,"about_ca_system_score_gemma":0.001358511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667359,"about_ca_topic_score_gemma":0.0006944018,"domain_scores_codex":[0.9992737,0.0002899214,0.00002922247,0.00009770362,0.0002250547,0.00008450489],"domain_scores_gemma":[0.9988732,0.0005870671,0.000155052,0.0001943922,0.0001006506,0.00008966845],"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":[0.000009678376,0.00001292714,0.0001708781,0.00001797163,0.000004756312,0.00004585533,0.00008974657,0.05076544,0.000525302,0.9455212,0.0003417284,0.002494448],"study_design_scores_gemma":[0.00001443887,0.00002537027,0.00008317719,0.00001734235,0.000004692393,0.00004637152,0.0000366589,0.415125,0.0003620213,0.5783901,0.005879843,0.00001497496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02787881,0.001174217,0.9350018,0.002628139,0.0002384866,0.0001184066,0.0001543293,0.0002360786,0.03256967],"genre_scores_gemma":[0.8581793,0.002534555,0.1245676,0.0006211574,0.000625763,0.0003800986,0.000135039,0.0001668529,0.01278974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003017452,"threshold_uncertainty_score":0.0100944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140926851061669,"score_gpt":0.4837017005905604,"score_spread":0.3696090154843935,"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."}}