{"id":"W4403139636","doi":"10.22331/q-2024-10-04-1493","title":"Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms","year":2024,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Argonne National Laboratory; U.S. Department of Energy; Office of Science; University of Chicago; National Science Foundation","keywords":"Quantum; Quantum algorithm; Algorithm; Computer science; Quantum mechanics; Mathematics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004874622,0.0007711246,0.00072691,0.000568387,0.0006454856,0.001702732,0.001113823,0.001115337,0.002800137],"category_scores_gemma":[0.01422531,0.0005854183,0.0007652019,0.0006815987,0.002919697,0.00362833,0.001759992,0.001999553,0.0002423444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651322,"about_ca_system_score_gemma":0.001176086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055718,"about_ca_topic_score_gemma":0.001367391,"domain_scores_codex":[0.9977385,0.001312241,0.00007935955,0.0001950973,0.0004942355,0.0001806143],"domain_scores_gemma":[0.9913952,0.007106341,0.0002768682,0.0007414913,0.0002878041,0.0001923039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000187199,0.00007770125,0.0006637257,0.00008370956,0.00005167693,0.00003424208,0.00009611097,0.5647159,0.002720043,0.410026,0.000286994,0.02105668],"study_design_scores_gemma":[0.00001733432,0.00004487788,0.00009459972,0.000009277622,0.000007643138,0.000009181287,0.00001443207,0.923708,0.0010544,0.07475366,0.0002787521,0.000007820197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1047325,0.000477299,0.886159,0.0006567906,0.00003128907,0.00006399573,0.00003621954,0.000143212,0.007699714],"genre_scores_gemma":[0.7310836,0.0003467788,0.2660552,0.0001129305,0.00003675701,0.0001963344,0.00005409582,0.0001420835,0.001972178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004874622,"threshold_uncertainty_score":0.02577972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556868765107993,"score_gpt":0.2678512443770853,"score_spread":0.2522825567260054,"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."}}