{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008484987,0.0003677885,0.0004285607,0.0005540324,0.0009069338,0.002084868,0.001568077,0.0009819892,0.01835738],"category_scores_gemma":[0.004609992,0.0004033658,0.0006610514,0.0006589185,0.001089469,0.001879437,0.001917973,0.001428393,0.003348976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006382016,"about_ca_system_score_gemma":0.001216933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262675,"about_ca_topic_score_gemma":0.001420359,"domain_scores_codex":[0.9988417,0.0003020356,0.00009641705,0.0001559662,0.0004295405,0.0001743999],"domain_scores_gemma":[0.998868,0.0003149428,0.00004727812,0.0004022827,0.0003026436,0.0000648251],"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":[0.0001925004,0.0001471356,0.0006729166,0.0002594431,0.00002112248,0.000216048,0.0004291167,0.03434609,0.01254676,0.8433882,0.006757652,0.101023],"study_design_scores_gemma":[0.0001654202,0.0001883083,0.0003118144,0.0001403164,0.00003005194,0.0002903071,0.0001990872,0.4789522,0.03051925,0.3811289,0.1080028,0.00007146589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02277201,0.0001680643,0.9410737,0.0004158286,0.0002463644,0.0003040753,0.0004220339,0.004073106,0.03052484],"genre_scores_gemma":[0.3989305,0.0004028864,0.572723,0.0003097223,0.00007707902,0.0009942561,0.0009762081,0.001435142,0.02415114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01835738,"threshold_uncertainty_score":0.0614115,"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."}}