{"id":"W4403759024","doi":"10.1109/access.2024.3486333","title":"A Quantum Algorithm for Boolean Functions Processing","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Prince Sattam bin Abdulaziz University","keywords":"Computer science; Boolean function; Boolean expression; And-inverter graph; Boolean network; Product term; Quantum; Theoretical computer science; Algorithm; Two-element Boolean algebra; Mathematics; Algebra over a field; 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":[0.0008802556,0.0005310352,0.000559223,0.0006156274,0.0008371295,0.0009607839,0.001304653,0.001006058,0.006123272],"category_scores_gemma":[0.003087801,0.0002919919,0.0007180181,0.0006531875,0.001042484,0.001889612,0.001350907,0.001363541,0.0008486183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076885,"about_ca_system_score_gemma":0.001564693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212276,"about_ca_topic_score_gemma":0.001398257,"domain_scores_codex":[0.9991751,0.000195416,0.00005664867,0.0002111436,0.0002682564,0.00009332218],"domain_scores_gemma":[0.9992315,0.0003875688,0.00005501622,0.0001350841,0.0001585595,0.00003225999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006468828,0.0001988382,0.0006513849,0.0003380778,0.00008554657,0.0001805477,0.0002295142,0.09943691,0.03126039,0.4551494,0.00821204,0.4036103],"study_design_scores_gemma":[0.0001086552,0.0001294557,0.0001590702,0.00001758759,0.00002373196,0.00009161016,0.00002631964,0.8651964,0.009979987,0.1189713,0.005269883,0.0000259779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008163329,0.0001263304,0.9878592,0.0002571531,0.00005645838,0.0001203638,0.00005855713,0.0007733195,0.002585394],"genre_scores_gemma":[0.2120332,0.0001594088,0.7843136,0.0002127044,0.00006059029,0.0003467926,0.000163591,0.000106623,0.002603587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006123272,"threshold_uncertainty_score":0.02048439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515047285941267,"score_gpt":0.3062803188144256,"score_spread":0.2811298459550129,"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."}}