{"id":"W4386243800","doi":"10.1088/2058-9565/acf4ba","title":"Boosting quantum amplitude exponentially in variational quantum algorithms","year":2023,"lang":"en","type":"article","venue":"Quantum Science and Technology","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Algorithm; Ground state; Quantum algorithm; Quantum computer; Computer science; Quantum; Physics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002544062,0.0003095341,0.0003780779,0.002553267,0.0008123672,0.0003931017,0.002234353,0.000211192,0.000005104318],"category_scores_gemma":[0.0007485648,0.0002870072,0.00004982804,0.009560894,0.0009597226,0.0006740641,0.001551552,0.0005725824,0.0000911968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008844656,"about_ca_system_score_gemma":0.0005484207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092526,"about_ca_topic_score_gemma":0.00001499456,"domain_scores_codex":[0.9958563,0.00006550415,0.0005581825,0.001322481,0.0009476056,0.001249899],"domain_scores_gemma":[0.998262,0.0002742672,0.0001918739,0.0008025635,0.0002911898,0.0001781208],"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":[0.000004061927,0.00008158474,0.002177368,0.00001904654,0.000008762879,0.0001742608,0.0006529709,0.0005593229,0.0158684,0.9236853,0.0001563605,0.05661262],"study_design_scores_gemma":[0.0003395984,0.0001577719,0.01158082,0.00005134961,0.00000257183,0.0001277428,0.0001537086,0.8067724,0.0006471333,0.1790372,0.0008121724,0.0003176174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834118,0.0002550101,0.1491314,0.01301455,0.001277158,0.0003203473,0.000006396633,0.001735926,0.0001412491],"genre_scores_gemma":[0.9786788,0.00006083319,0.02087547,0.0002067656,0.00009164696,0.00003738851,0.000004023912,0.0000188426,0.0000262369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.806213,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482822204987427,"score_gpt":0.2597515473786568,"score_spread":0.2449233253287825,"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."}}