{"id":"W4400737701","doi":"10.1145/3678184","title":"Optimization Applications as Quantum Performance Benchmarks","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Quantum Computing","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Computer science; Quantum; Computer architecture; Parallel computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001724581,0.0008346798,0.0006222225,0.0007443818,0.0007021259,0.001403141,0.001234957,0.0009332196,0.006259308],"category_scores_gemma":[0.007691803,0.0003186104,0.0004030107,0.002000947,0.000629337,0.001496614,0.0008767963,0.001487782,0.0009062099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009588768,"about_ca_system_score_gemma":0.000896621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795914,"about_ca_topic_score_gemma":0.002750972,"domain_scores_codex":[0.9982585,0.0007314041,0.0000654572,0.0001331727,0.0006635565,0.0001478677],"domain_scores_gemma":[0.9971073,0.001659894,0.000136313,0.0005311663,0.0004966796,0.00006855631],"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":[0.0002845318,0.0003402157,0.002198231,0.0006790425,0.00006419111,0.0001796862,0.0003287191,0.6759191,0.01949294,0.1692318,0.02232698,0.1089545],"study_design_scores_gemma":[0.00002136378,0.0001165444,0.000892395,0.00004952715,0.000009457084,0.00005193085,0.00009902772,0.9418972,0.01331223,0.02980106,0.01372524,0.0000240636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2824408,0.003139554,0.6059417,0.002764203,0.0005434555,0.0004283105,0.001768395,0.01062039,0.09235317],"genre_scores_gemma":[0.8012288,0.001161889,0.1898383,0.0002532819,0.00006495989,0.0003822495,0.001129176,0.001548498,0.004392819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006259308,"threshold_uncertainty_score":0.02093953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013412588121792,"score_gpt":0.250089047943811,"score_spread":0.2399549220625931,"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."}}