{"id":"W4395444117","doi":"10.48550/arxiv.2404.14491","title":"Conditional disclosure of secrets with quantum resources","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Colleges and Universities; Institut Périmètre de physique théorique; Industry Canada; Government of Canada","keywords":"Quantum; Business; Computer science; Computer security; Internet privacy; Physics; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001722489,0.0003114632,0.0003529166,0.0002796435,0.0001128183,0.0001148709,0.00142164,0.0001883581,0.00001802225],"category_scores_gemma":[0.000009875126,0.0002692675,0.0001990248,0.0005847004,0.0002223406,0.00008321851,0.002309278,0.0008345776,0.00002833652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004836234,"about_ca_system_score_gemma":0.0002240349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007558545,"about_ca_topic_score_gemma":0.00001443403,"domain_scores_codex":[0.998256,0.0001019555,0.0001927209,0.0009937603,0.0001729731,0.0002826332],"domain_scores_gemma":[0.9985493,0.0001230779,0.0002286395,0.0008446164,0.0001269188,0.0001274027],"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":[0.00002711007,0.00007074242,0.0006205209,0.0002975403,0.0001966431,0.0006997164,0.0007748454,0.6301126,0.00002631688,0.3664373,0.0003522866,0.0003843644],"study_design_scores_gemma":[0.000199115,0.0001188144,0.001183295,0.0003554642,0.00005403229,0.00002225524,0.00004306405,0.7941549,0.00006607435,0.203049,0.0004452509,0.0003087251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7584852,0.0001703646,0.2392534,0.0002769466,0.0003460883,0.0001435025,0.00006828403,0.000249305,0.001006893],"genre_scores_gemma":[0.9970212,0.00001571309,0.002208467,0.00003712748,0.0001172541,4.875896e-7,0.00002434868,0.00002023173,0.0005551474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.238536,"threshold_uncertainty_score":0.999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612618408441902,"score_gpt":0.1730401271376422,"score_spread":0.1469139430532232,"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."}}