{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053099,0.0003043985,0.0004911873,0.0003472688,0.0006380496,0.0009541747,0.001103007,0.001148605,0.002901738],"category_scores_gemma":[0.003144913,0.0002971143,0.0003446571,0.0002956931,0.001626089,0.001295681,0.001253982,0.001223497,0.0002928983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000911596,"about_ca_system_score_gemma":0.0009762248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00383341,"about_ca_topic_score_gemma":0.002544874,"domain_scores_codex":[0.9997376,0.0001400507,0.000006271252,0.00001778044,0.00007066572,0.00002762316],"domain_scores_gemma":[0.999151,0.0004937286,0.00004108625,0.00009217926,0.0001280895,0.00009396023],"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":[0.00009242481,0.00009703781,0.0008044118,0.00005902943,0.00002495635,0.0000679291,0.0001265466,0.6358672,0.005581939,0.351217,0.001042404,0.005019152],"study_design_scores_gemma":[0.00001190169,0.00000603298,0.00003561576,0.000002713104,0.000001114714,0.000003156532,0.000005656175,0.9758203,0.0004053967,0.02330561,0.0004000402,0.000002425923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3774833,0.0003694915,0.5874832,0.003065832,0.0002199785,0.0001711423,0.0000959,0.0008760048,0.03023516],"genre_scores_gemma":[0.8435304,0.0001963447,0.1525609,0.0002504528,0.00004675414,0.0001222465,0.00005668316,0.0001180115,0.003118167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00383341,"threshold_uncertainty_score":0.009707272,"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."}}