{"id":"W4386734828","doi":"10.36227/techrxiv.24136440.v1","title":"Navigating the Quantum Computing Threat Landscape for Blockchains: A Comprehensive Survey","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Public Safety Canada","keywords":"Computer science; Quantum computer; Blockchain; Computer security; Hash function; Quantum cryptography; Cryptography; Key (lock); Qubit; Quantum; Theoretical computer science; Quantum information; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001493172,0.0004019891,0.0005298119,0.00007068732,0.0007936906,0.0003125957,0.003422442,0.0005234925,0.000002983067],"category_scores_gemma":[0.000180525,0.0002937025,0.0002329703,0.0006261015,0.0001718881,0.00003820127,0.004591396,0.001728342,0.00003625356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003882137,"about_ca_system_score_gemma":0.0001383253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102626,"about_ca_topic_score_gemma":0.0005074097,"domain_scores_codex":[0.9972328,0.0002088396,0.0005763567,0.001136489,0.0002782393,0.0005672699],"domain_scores_gemma":[0.994466,0.002425558,0.0003969682,0.002139606,0.0005015182,0.00007036854],"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":[0.00002369583,0.0003106685,0.01589676,0.0005402554,0.0006654231,0.00001834884,0.0056832,0.01341281,0.0000730143,0.8660452,0.02742413,0.06990643],"study_design_scores_gemma":[0.0002437147,0.00003720927,0.009726365,0.0001292092,0.00001535069,0.00001039676,0.0002576466,0.8997389,0.00009514761,0.08876191,0.0005996844,0.0003844555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.145658,0.0005661336,0.8396339,0.009448879,0.000847422,0.001689375,0.00009993559,0.001989356,0.00006691061],"genre_scores_gemma":[0.9647285,0.00007027274,0.0336346,0.0006354869,0.0001764431,0.0004593612,0.0001657352,0.00004768728,0.00008189557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8863261,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07068210384802957,"score_gpt":0.3323157775644167,"score_spread":0.2616336737163871,"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."}}