{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007955309,0.000426004,0.0004724476,0.0002762754,0.0005724587,0.0008861818,0.0009686065,0.001077408,0.005224277],"category_scores_gemma":[0.002965948,0.0002131406,0.0005337364,0.0002086504,0.001604272,0.001274008,0.001706085,0.001182511,0.0005614201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511994,"about_ca_system_score_gemma":0.001111056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075023,"about_ca_topic_score_gemma":0.001110432,"domain_scores_codex":[0.9991186,0.0002910062,0.00003050936,0.00006627794,0.0003957296,0.00009779359],"domain_scores_gemma":[0.9986601,0.0008682724,0.00005412678,0.0002257914,0.0001354151,0.0000562904],"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":[0.0002396186,0.0001916923,0.002054039,0.0001895933,0.00006201383,0.000362754,0.0003082493,0.5327097,0.02597109,0.4204364,0.002840232,0.01463458],"study_design_scores_gemma":[0.00005375585,0.00003727791,0.0001076444,0.00001307835,0.000005802643,0.00005578753,0.00001797833,0.940179,0.01319914,0.0431675,0.003152211,0.00001076939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2354973,0.0001955463,0.7099808,0.001568633,0.0002083241,0.0002172435,0.0004092079,0.003499835,0.04842323],"genre_scores_gemma":[0.9265714,0.00014686,0.06910283,0.0001588499,0.00001631573,0.0001627167,0.0001849086,0.0002806287,0.003375488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005224277,"threshold_uncertainty_score":0.01747698,"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."}}