{"id":"W4406272138","doi":"10.1103/physrevresearch.7.013036","title":"Potential quantum advantage for simulation of fluid dynamics","year":2025,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"Pacific Northwest National Laboratory; Basic Energy Sciences; Battelle; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Dynamics (music); Quantum dynamics; Statistical physics; Quantum; Computer science; Physics; Quantum mechanics","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":[0.001191374,0.0004551107,0.0006407413,0.000313496,0.001111805,0.001392035,0.001264578,0.001243023,0.007735476],"category_scores_gemma":[0.005492459,0.0003669362,0.0006278399,0.0004179844,0.001720874,0.003425327,0.001644629,0.002293521,0.001103683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398983,"about_ca_system_score_gemma":0.001676548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004238533,"about_ca_topic_score_gemma":0.002949552,"domain_scores_codex":[0.9992837,0.000252931,0.00002939901,0.00007307589,0.0002820751,0.00007883196],"domain_scores_gemma":[0.9976013,0.001259611,0.00007999302,0.0006595228,0.0002657326,0.0001337994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002161849,0.0001155807,0.001171158,0.000148344,0.00003690683,0.0001017406,0.0001787606,0.2108184,0.01014974,0.756633,0.002757622,0.01767251],"study_design_scores_gemma":[0.00003042712,0.00003998883,0.0001218821,0.00001802871,0.000009450147,0.00002055859,0.00002230639,0.8463117,0.002047973,0.1446189,0.006743721,0.00001502839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1277973,0.00194051,0.7730674,0.007279575,0.0008287859,0.0002119913,0.0003422963,0.00301361,0.08551849],"genre_scores_gemma":[0.7665787,0.0009737643,0.2250634,0.0004774033,0.0002105587,0.0002067827,0.0001610259,0.0003725636,0.005955716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007735476,"threshold_uncertainty_score":0.02587777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135854500928842,"score_gpt":0.4434617668357647,"score_spread":0.4121032218264763,"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."}}