{"id":"W4415506491","doi":"10.1103/rrmd-fqx6","title":"Non-Abelian dynamics on a cube: Improving quantum compilation through qudit-based simulations","year":2025,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nuclear Physics; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Office of Science; Canada Research Chairs; University of Washington; U.S. Department of Energy; National Science Foundation","keywords":"Lattice gauge theory; Quantum simulator; Quantum; Gauge theory; Lattice field theory; Lattice (music); Quantum computer; Quantum algorithm; Executable","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004128291,0.0006877304,0.001494324,0.0001210169,0.000465142,0.0001690364,0.001507857,0.00006488656,0.000004224466],"category_scores_gemma":[0.0005665998,0.0005509783,0.0008596572,0.00239656,0.0001333458,0.0003795079,0.0004423681,0.0009231181,0.0002277067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151514,"about_ca_system_score_gemma":0.0002752618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003766553,"about_ca_topic_score_gemma":0.000006426119,"domain_scores_codex":[0.9959213,0.00035082,0.0008658806,0.0012677,0.0008518503,0.0007424422],"domain_scores_gemma":[0.9960948,0.001155306,0.0004886473,0.001747713,0.0002876951,0.0002258054],"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":[0.00002265599,0.002962641,0.0006997886,0.01511494,0.0001594002,0.00002477198,0.0001712363,0.03020036,0.003051501,0.5211825,0.007799996,0.4186102],"study_design_scores_gemma":[0.0003370667,0.0002317526,0.0009471908,0.01215429,0.0001637305,0.000001376891,0.000001149143,0.9255241,0.0005927546,0.05119305,0.008318841,0.0005346989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2394824,0.02764883,0.6695249,0.04847135,0.001751221,0.006034861,0.0002183027,0.001437548,0.005430582],"genre_scores_gemma":[0.9717597,0.003665284,0.007030499,0.01655635,0.000596519,0.0001383771,0.0001531918,0.00005879064,0.00004132583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8953238,"threshold_uncertainty_score":0.9996942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012077514955534,"score_gpt":0.3945420165270012,"score_spread":0.3824645015714672,"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."}}