{"id":"W4387869558","doi":"10.1109/dasa59624.2023.10286779","title":"Quantum Optimization in Engineering: A Brief Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Variety (cybernetics); Computer science; Quantum computer; Quantum; Engineering optimization; Management science; Optimization problem; Engineering; Artificial intelligence; Algorithm; 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":[0.000543559,0.0003820526,0.001356434,0.0003924697,0.00003217975,0.0001119338,0.00126913,0.000154037,0.0000118231],"category_scores_gemma":[0.0001502951,0.0002938308,0.0003194848,0.002260483,0.000008835051,0.00009344375,0.0004777341,0.0004754894,0.0001147885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005604109,"about_ca_system_score_gemma":0.0001868798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001628197,"about_ca_topic_score_gemma":0.000001263827,"domain_scores_codex":[0.997927,0.0001087253,0.0007133172,0.0006348995,0.0002460362,0.0003699955],"domain_scores_gemma":[0.9987197,0.0002432085,0.0001913619,0.000731669,0.00002927088,0.00008482359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.417381e-8,0.00001343108,1.940798e-8,0.05785567,0.00001764837,0.00005190027,0.00001040045,0.02855211,1.129204e-9,0.004839427,0.001195335,0.907464],"study_design_scores_gemma":[0.00002210295,0.000009191263,6.688376e-8,0.06470299,0.00001758119,0.00003394574,6.890082e-8,0.460503,4.944468e-9,0.00002576337,0.474488,0.0001972819],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.205528e-9,0.6688628,0.3298045,0.0001162024,0.0003004978,0.0003892309,0.000001603077,0.0004458955,0.00007929048],"genre_scores_gemma":[9.443593e-9,0.9552337,0.04423259,0.0001416071,0.00009143158,0.00005717828,0.00002149118,0.00004458363,0.0001773935],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9072667,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477499239485939,"score_gpt":0.2961252560718769,"score_spread":0.2613502636770175,"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."}}