{"id":"W4312565587","doi":"10.1109/qce53715.2022.00122","title":"Implementation and Viusalization of Quantum Walks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Quantum Computing and Engineering (QCE)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Quantum walk; Random walk; Implementation; Computer science; Quantum; Quantum computer; Theoretical computer science; Bridge (graph theory); Physics; Mathematics; Quantum mechanics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0004514262,0.0001925158,0.0002064331,0.0003022455,0.0002471971,0.0001339979,0.0004801306,0.00003265172,0.00003311826],"category_scores_gemma":[0.00002413791,0.0002064928,0.00004702288,0.000254666,0.00003063543,0.0001198233,0.0003960754,0.0003120367,0.000001196595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005126903,"about_ca_system_score_gemma":0.00004504168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007155725,"about_ca_topic_score_gemma":0.000001598569,"domain_scores_codex":[0.9984258,0.00007216035,0.0003664412,0.000428228,0.0004676592,0.0002397155],"domain_scores_gemma":[0.9993135,0.0001317055,0.0001864065,0.0002023098,0.0000888362,0.00007727909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002022585,0.00008229176,0.0007850277,0.00006099928,0.00007937123,0.00001797476,0.002306357,0.245023,0.00909483,0.6951004,0.0002817227,0.04714777],"study_design_scores_gemma":[0.0003667836,0.0002488902,0.003053569,0.00004900233,0.000005422178,0.00006042795,0.0002154984,0.9924766,0.0004252883,0.002361283,0.0005221097,0.0002151651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6231171,0.00007755947,0.3743315,0.0007238655,0.00138944,0.0001022486,0.00002284103,0.0001398738,0.00009556853],"genre_scores_gemma":[0.9963219,0.00004038238,0.003368859,0.0001050936,0.0001002087,0.000007544422,0.00002303051,0.00001578329,0.00001716116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7474536,"threshold_uncertainty_score":0.8420531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923046146318697,"score_gpt":0.2787943712712176,"score_spread":0.2595639098080307,"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."}}