{"id":"W4389159024","doi":"10.1109/qce57702.2023.00019","title":"Towards Fidelity-Optimal Qubit Mapping on NISQ Computers","year":2023,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Quantum computer; Qubit; Quantum algorithm; Quantum circuit; Swap (finance); Algorithm; Parallel computing; Computer engineering; Quantum; Theoretical computer science; Quantum error correction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004021956,0.0001985613,0.0001980253,0.0002682905,0.0002430675,0.0002422209,0.001051907,0.0000596571,0.00001661977],"category_scores_gemma":[0.00003620448,0.0001627859,0.0001219582,0.001015819,0.00003650327,0.0001301745,0.0006471641,0.0002554736,0.000582703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002908368,"about_ca_system_score_gemma":0.00005655568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005273141,"about_ca_topic_score_gemma":0.00000152845,"domain_scores_codex":[0.9982225,0.00006330042,0.0002461618,0.0005615518,0.0003969886,0.0005094686],"domain_scores_gemma":[0.9989706,0.0001958031,0.0000548269,0.000590769,0.00004737047,0.0001405904],"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":[0.00000452237,0.00005836095,0.00005711408,0.00002592796,0.00003721486,0.0001594877,0.001673354,0.2535377,0.0002348681,0.05159833,0.03055525,0.6620579],"study_design_scores_gemma":[0.0001999311,0.000107069,0.003286165,0.00003776195,0.000001064058,0.00001829856,0.00003040551,0.9793295,0.0002241094,0.002292063,0.01424317,0.0002304392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1135708,0.00001346433,0.8716037,0.007076345,0.001158542,0.00012778,0.000002369218,0.001970347,0.004476733],"genre_scores_gemma":[0.5489221,0.000008703494,0.4449127,0.004226462,0.0005003132,0.0000109887,0.00001076448,0.00002899925,0.001378945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7257919,"threshold_uncertainty_score":0.7489663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098109613177293,"score_gpt":0.2522517800198532,"score_spread":0.2312706838880803,"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."}}