{"id":"W4362600773","doi":"10.1103/physrevresearch.5.l022003","title":"Simulating time evolution on distributed quantum computers","year":2023,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Computer science; Quantum computer; Quantum; Distributed computing; Physics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005727572,0.0002750747,0.0005994164,0.0002961682,0.0007188418,0.0008612523,0.0008099149,0.001021057,0.00251509],"category_scores_gemma":[0.002837801,0.0003000631,0.0003940446,0.0005103861,0.00120029,0.001045822,0.001089955,0.0009756283,0.0001702835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100533,"about_ca_system_score_gemma":0.0008153854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006405796,"about_ca_topic_score_gemma":0.004580778,"domain_scores_codex":[0.9997486,0.00009342849,0.000009074068,0.00002859824,0.00007476767,0.0000455453],"domain_scores_gemma":[0.9990735,0.0006566044,0.00004320506,0.00008457575,0.00007027737,0.00007177398],"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":[0.00006206777,0.00003247542,0.0005222483,0.00001633698,0.00001424386,0.00007995467,0.0000595612,0.9388389,0.001693495,0.05534602,0.0003320131,0.00300273],"study_design_scores_gemma":[0.000009985459,0.000005958088,0.00003544842,9.566509e-7,0.000001061909,0.000003091313,0.000006179682,0.9939396,0.0001872555,0.005620872,0.0001877918,0.000001783416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6295295,0.0003789191,0.3404324,0.001344987,0.000226204,0.0001210372,0.0001978388,0.0004958009,0.02727333],"genre_scores_gemma":[0.9546071,0.0001738413,0.03995835,0.0000866655,0.00003937607,0.0001019628,0.00008650572,0.00006276737,0.004883359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006405796,"threshold_uncertainty_score":0.01273704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05643580622436366,"score_gpt":0.3948451249875917,"score_spread":0.338409318763228,"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."}}