{"id":"W2978019533","doi":"10.22331/q-2020-06-29-287","title":"Efficient Quantum Walk Circuits for Metropolis-Hastings Algorithm","year":2020,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Quantum walk; Quantum algorithm; Quantum computer; Heuristic; Quantum; Quantum phase estimation algorithm; Quantum circuit; Quantum sort","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004177469,0.0004053877,0.000484337,0.0001568015,0.0004392613,0.000298115,0.001561957,0.0001218159,0.0000174898],"category_scores_gemma":[0.0002909598,0.0003638217,0.0003024416,0.0009170054,0.00009255776,0.0001056201,0.0003358788,0.0003809581,0.0001174729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000042377,"about_ca_system_score_gemma":0.000136898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004999842,"about_ca_topic_score_gemma":8.484935e-7,"domain_scores_codex":[0.9968532,0.00009241577,0.0005220295,0.001050331,0.0005577649,0.0009243084],"domain_scores_gemma":[0.9981214,0.0003675483,0.0002327182,0.0006152423,0.0001908402,0.0004722824],"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":[0.00002123923,0.0002683382,0.00007223181,0.0002219564,0.0001255515,0.0001092771,0.004276055,0.04417412,0.001703475,0.1677083,0.006608828,0.7747107],"study_design_scores_gemma":[0.0006984184,0.0005215923,0.0002354683,0.00003811065,0.00001665727,0.00003468345,0.00006862263,0.9831479,0.0006931196,0.005797307,0.008264466,0.0004836148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03803835,0.0003895147,0.9523615,0.006525845,0.001223053,0.0004638433,0.00004512109,0.0007736739,0.0001791113],"genre_scores_gemma":[0.8574042,0.00000496134,0.1388496,0.002594109,0.001021868,0.00002624735,0.00001510478,0.00005177674,0.00003209637],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9389738,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148501767296296,"score_gpt":0.2481672611814051,"score_spread":0.2266822435084422,"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."}}