{"id":"W6993003267","doi":"","title":"Near-Term Quantum Algorithms for Classical Sampling","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantum algorithm; Markov chain Monte Carlo; Sampling (signal processing); Markov chain; Quantum phase estimation algorithm; Quantum; Quantum computer; Scaling; Quantum state","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":[0.002559391,0.000644401,0.0007222228,0.0006940217,0.001089791,0.001717808,0.001727832,0.001271697,0.007031537],"category_scores_gemma":[0.009825435,0.0003750868,0.0007881577,0.0007152021,0.002318918,0.002962108,0.002925978,0.002367475,0.001144314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785973,"about_ca_system_score_gemma":0.001693902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944675,"about_ca_topic_score_gemma":0.002247741,"domain_scores_codex":[0.9985687,0.0005507295,0.00007571343,0.000257112,0.0004205137,0.0001271848],"domain_scores_gemma":[0.9964274,0.002243763,0.0001530173,0.0006505495,0.0003861776,0.0001391935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008100943,0.00004913208,0.0002926383,0.00008138429,0.00002110518,0.00003257426,0.00009629121,0.1492756,0.001570257,0.8041322,0.001514178,0.04285353],"study_design_scores_gemma":[0.00001957503,0.00003017734,0.00005591354,0.000016989,0.000004907417,0.00001912768,0.0000148795,0.7783629,0.0007078276,0.218206,0.00254944,0.00001225973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008751806,0.0003279366,0.9839114,0.0003847839,0.0001018517,0.00007147042,0.00003536676,0.0002477311,0.006167661],"genre_scores_gemma":[0.2785541,0.0005555458,0.7094805,0.0004910779,0.0002203451,0.0004367796,0.000218986,0.0002916508,0.009751105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007031537,"threshold_uncertainty_score":0.02352279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416790848962099,"score_gpt":0.2494782345106394,"score_spread":0.2253103260210184,"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."}}