{"id":"W3126033875","doi":"10.3847/1538-4357/abe6ac","title":"Toward Cosmological Simulations of Dark Matter on Quantum Computers","year":2021,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"National Aeronautics and Space Administration","keywords":"Dark energy; Physics; Dark matter; Quantum; Quantum computer; Statistical physics; Nonlinear system; Universe; Theoretical physics; Quantum algorithm; Classical mechanics; Quantum mechanics; Astrophysics; Cosmology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001245335,0.0001271094,0.0002111612,0.00003768833,0.0002265899,0.0001503588,0.0007883443,0.00003011763,0.00001739542],"category_scores_gemma":[0.0000288726,0.00007520788,0.0001781544,0.0002679795,0.0001070902,0.00007325736,0.0002937294,0.0005454322,0.00004069375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001680278,"about_ca_system_score_gemma":0.00006561018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001465042,"about_ca_topic_score_gemma":4.690203e-8,"domain_scores_codex":[0.9986695,0.0002527878,0.0002534034,0.0002032832,0.0003652483,0.0002557623],"domain_scores_gemma":[0.9988688,0.0004063963,0.0001361185,0.0003745954,0.0001141419,0.00009990904],"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":[0.00007585444,0.001045163,0.0003952272,0.00001716099,0.0001947722,0.0005742523,0.001331447,0.7278504,0.02221938,0.154402,0.009529989,0.0823643],"study_design_scores_gemma":[0.0005101805,0.0004943191,0.03741291,0.00008111091,0.00001581805,0.0006572266,0.00002765122,0.8854237,0.001403655,0.07348923,0.000291188,0.0001929685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4461106,0.00001331352,0.5482376,0.005210397,0.0003269509,0.00002551341,0.000002665367,0.00001857406,0.00005445726],"genre_scores_gemma":[0.947493,0.000001602108,0.05133215,0.0008407122,0.0003112116,3.658274e-7,0.000001070033,0.000006184325,0.00001370101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5013824,"threshold_uncertainty_score":0.3066888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817902928475516,"score_gpt":0.2465043384994797,"score_spread":0.2283253092147245,"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."}}