{"id":"W4400023644","doi":"10.48550/arxiv.2406.16247","title":"Demonstrating Quantum Homomorphic Encryption Through Simulation","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; HORIZON EUROPE Framework Programme; University of Ottawa","keywords":"Homomorphic encryption; Computer science; Encryption; Quantum; Computer security; Theoretical computer science; 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":[0.0004060228,0.0004430036,0.0003481955,0.0003450782,0.0002320839,0.0003977375,0.001232268,0.0004014241,0.00003972336],"category_scores_gemma":[0.00007419522,0.0005335447,0.0003038249,0.001048063,0.000129092,0.0009427926,0.001833926,0.001133651,0.0006712088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004937624,"about_ca_system_score_gemma":0.0003676631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002218407,"about_ca_topic_score_gemma":0.00002675286,"domain_scores_codex":[0.9972391,0.0002270374,0.0003648502,0.001528514,0.0002148242,0.0004256593],"domain_scores_gemma":[0.9979147,0.0002555586,0.0003397422,0.001125276,0.0002347674,0.0001299653],"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":[0.00001381277,0.00004917763,0.0001043316,0.0001486372,0.00004637232,0.0002883836,0.0003082249,0.7147974,0.0008668956,0.2824697,0.00009387998,0.0008132595],"study_design_scores_gemma":[0.0001961687,0.00004686785,0.0001308925,0.0002202333,0.00006919663,0.000006979084,0.00004287738,0.7096063,0.0003212635,0.2888799,0.00009422231,0.0003850196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2035009,0.000138556,0.7923517,0.0001733852,0.001067487,0.0003463192,0.00001184722,0.001113829,0.001295971],"genre_scores_gemma":[0.9936525,0.00007257962,0.005644778,0.00009651439,0.0002050964,0.000002053156,0.0000287861,0.00004490527,0.0002527528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7901517,"threshold_uncertainty_score":0.9997116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026718112607441,"score_gpt":0.2174638272000294,"score_spread":0.1147920159392854,"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."}}