{"id":"W4387220907","doi":"10.20944/preprints202309.2100.v1","title":"Quantum Machine Learning Guided Image Synthesis","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Generative grammar; Computer science; Fidelity; Artificial intelligence; Image synthesis; Image (mathematics); Generative model; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005183993,0.0002628015,0.0004480685,0.0002303009,0.0003430031,0.0009615266,0.0006583516,0.0008585471,0.005435626],"category_scores_gemma":[0.001610797,0.0002238396,0.0003548686,0.0002929824,0.001384048,0.001404504,0.001152159,0.001210543,0.0008067894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007128005,"about_ca_system_score_gemma":0.0004944231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004870709,"about_ca_topic_score_gemma":0.0006037459,"domain_scores_codex":[0.9997552,0.0000655134,0.00000874338,0.00005102715,0.0000901895,0.00002929332],"domain_scores_gemma":[0.9994678,0.0003086911,0.00003012352,0.0001206241,0.00004879091,0.00002389535],"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":[0.0001651912,0.00006763314,0.0004273372,0.0001615089,0.00003436442,0.0001145233,0.0001574168,0.2165908,0.03846716,0.6604464,0.003274052,0.08009344],"study_design_scores_gemma":[0.00002226745,0.00003785651,0.000114546,0.000017643,0.000006206188,0.00005681439,0.00002433376,0.8174037,0.01271585,0.1636369,0.005945641,0.00001828843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04246794,0.0007303246,0.9229027,0.001233891,0.0001858191,0.00005218827,0.00009475009,0.000775968,0.03155645],"genre_scores_gemma":[0.8120998,0.0005358012,0.1751284,0.000377434,0.00007040412,0.00008509302,0.0001033309,0.0002187518,0.01138107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005435626,"threshold_uncertainty_score":0.01818395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007212655475236,"score_gpt":0.3305071436669589,"score_spread":0.2297858781194353,"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."}}