{"id":"W7071092133","doi":"","title":"Quantum Simulation Algorithms with Applications to Quantum Error Correction and Topological Data Analysis","year":2023,"lang":"en","type":"dissertation","venue":"ResearchWorks at the University of Washington (University of Washington)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Stryker; University of Washington","keywords":"Quantum error correction; Quantum algorithm; Quantum; Quantum phase estimation algorithm; Quantum computer; Error detection and correction; Topology (electrical circuits); Quantum operation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184892,0.0009499983,0.001343031,0.001555166,0.001336813,0.0016158,0.001511093,0.001476,0.007728591],"category_scores_gemma":[0.01890809,0.0005993119,0.001157275,0.00234113,0.001867768,0.002612218,0.002812999,0.002682281,0.001587348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113755,"about_ca_system_score_gemma":0.001938446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005235252,"about_ca_topic_score_gemma":0.00574748,"domain_scores_codex":[0.9988645,0.0005835202,0.00006849197,0.0001220776,0.0002799947,0.00008150339],"domain_scores_gemma":[0.989092,0.008289296,0.0002809626,0.0008550775,0.00125819,0.0002243825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001523598,0.0001847142,0.0009411998,0.0001182286,0.00008544615,0.0001108263,0.0002146535,0.499218,0.00136459,0.3545038,0.007835243,0.135271],"study_design_scores_gemma":[0.00001567855,0.00001299347,0.000052076,0.000008760362,0.000004765443,0.0000134486,0.00001552891,0.8370067,0.0003789155,0.1611671,0.001316375,0.000007733389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006084986,0.0002395997,0.9884697,0.0006374837,0.0001110186,0.00005455188,0.00007009538,0.0005078722,0.003824734],"genre_scores_gemma":[0.2044961,0.0008175089,0.7822353,0.0003190011,0.0003047354,0.0004078721,0.0003863576,0.0007449636,0.01028819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007728591,"threshold_uncertainty_score":0.02585465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934789799832001,"score_gpt":0.3239689842528528,"score_spread":0.2646210862545328,"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."}}