{"id":"W2951945888","doi":"10.26421/qic9.9-10-8","title":"Complete characterization of mixing time for the continuous quantum walk on the hypercube with Markovian decoherence model","year":2009,"lang":"en","type":"preprint","venue":"Quantum Information and Computation","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for the Mathematical Sciences; University of British Columbia","funders":"","keywords":"Quantum decoherence; Mixing (physics); Quantum walk; Qubit; Hypercube; Statistical physics; Markov process; Quantum; Random walk; Physics; Quantum computer; Quantum mechanics; Mathematics; Discrete mathematics","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":[0.001702447,0.0007263841,0.0009001683,0.001087148,0.0009483122,0.001839174,0.001288395,0.001259978,0.004222463],"category_scores_gemma":[0.008396795,0.0004443018,0.0008409214,0.0007658143,0.002085878,0.004300086,0.002050818,0.002273232,0.0004076225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417584,"about_ca_system_score_gemma":0.001261855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111283,"about_ca_topic_score_gemma":0.0007706966,"domain_scores_codex":[0.9987707,0.0003535523,0.00006069889,0.0002276383,0.0003297699,0.000257626],"domain_scores_gemma":[0.9950072,0.002591794,0.0008153468,0.0005188636,0.0004603793,0.0006064996],"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":[0.0001585782,0.00005527019,0.0007410662,0.00006520817,0.00002311725,0.0001368668,0.0001737623,0.05914824,0.007252461,0.9279422,0.0004895519,0.003813811],"study_design_scores_gemma":[0.00002604838,0.00004983143,0.000336243,0.00001821848,0.000007953131,0.00008117363,0.0000448421,0.6789185,0.002882061,0.316866,0.0007383557,0.00003083131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3913102,0.000462123,0.5918058,0.0007145464,0.0000417689,0.0001243326,0.0003478371,0.0003053409,0.01488818],"genre_scores_gemma":[0.9559577,0.0003278524,0.0378725,0.0001368901,0.00006420651,0.000289901,0.0003633075,0.0001187604,0.004868996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004222463,"threshold_uncertainty_score":0.01412553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567765873367429,"score_gpt":0.2281364805216202,"score_spread":0.2124588217879459,"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."}}