{"id":"W4402264015","doi":"10.1109/cnna60945.2023.10652656","title":"Approximate Parallel Annealing Ising Machines (APAIMs): Controller and Arithmetic Design","year":2023,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Alberta","keywords":"Computer science; Parallel computing; Arithmetic; Simulated annealing; Ising model; Mathematics; Algorithm; Physics; Statistical physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006962536,0.0001848753,0.0002320397,0.0001820907,0.0003052496,0.0003561713,0.0004102025,0.00005076304,0.000003325531],"category_scores_gemma":[0.00004785475,0.0001389219,0.00005400772,0.0005402197,0.00004769133,0.0001506064,0.0003191445,0.0001539964,0.00002940577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007297931,"about_ca_system_score_gemma":0.00002018383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003033099,"about_ca_topic_score_gemma":9.975732e-7,"domain_scores_codex":[0.9985733,0.0001150067,0.0002172026,0.0004629678,0.0002073912,0.0004241353],"domain_scores_gemma":[0.9991688,0.0003613719,0.00005832403,0.0002651361,0.00003531186,0.0001110415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002936544,0.00005282773,0.0004808913,0.0000802776,0.00008824532,0.0001441337,0.002848795,0.3523231,0.002128561,0.03248045,0.001847738,0.6074957],"study_design_scores_gemma":[0.000496065,0.00005202496,0.0007201232,0.00002424369,0.000004253399,0.00004691336,0.00002021843,0.9778343,0.0001110226,0.02035378,0.0001430072,0.000194086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03264459,0.0002166264,0.9636417,0.001955568,0.0001841137,0.0001918897,8.496434e-7,0.00090355,0.0002610805],"genre_scores_gemma":[0.3841803,0.00003232908,0.6146682,0.0006122216,0.0001238103,0.00001265615,0.000001622384,0.00002021491,0.0003486766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6255112,"threshold_uncertainty_score":0.5665071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083948861874259,"score_gpt":0.2460367704038862,"score_spread":0.2251972817851436,"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."}}