{"id":"W4399510435","doi":"10.48550/arxiv.2406.04418","title":"Geometric Quantum Machine Learning with Horizontal Quantum Gates","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Quantum; Physics; Computer science; Theoretical 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":[0.000663995,0.000410105,0.0004493257,0.0003311489,0.000467529,0.001162313,0.001029664,0.0007671663,0.005010027],"category_scores_gemma":[0.001998321,0.0002739875,0.0006054438,0.0004955055,0.002073878,0.002584267,0.001850011,0.001476188,0.0005575138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008932882,"about_ca_system_score_gemma":0.0007987326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008254227,"about_ca_topic_score_gemma":0.001160012,"domain_scores_codex":[0.9994823,0.000179356,0.00002328852,0.0001045321,0.0001218116,0.00008882018],"domain_scores_gemma":[0.9993923,0.0002656687,0.00004559503,0.0002096849,0.00004862498,0.0000381405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005257864,0.00003808691,0.0002165931,0.00004402463,0.00001604803,0.000039851,0.00004210887,0.05925633,0.00265038,0.9107661,0.0009404491,0.02593745],"study_design_scores_gemma":[0.00002296129,0.00004506076,0.00007854481,0.00001103487,0.000008955101,0.00002621292,0.00002119164,0.4366436,0.002997102,0.5577789,0.002356654,0.000009808344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07806978,0.0002711223,0.8980325,0.0007917694,0.00007701002,0.00008694836,0.0001487144,0.0005019053,0.02202025],"genre_scores_gemma":[0.8374727,0.0002440828,0.1567706,0.0002678453,0.00006612758,0.0001399216,0.0001588998,0.00009862418,0.004781186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005010027,"threshold_uncertainty_score":0.01676023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686367953533062,"score_gpt":0.1745020897409064,"score_spread":0.1476384102055758,"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."}}