{"id":"W4408850289","doi":"10.1038/s41567-025-02797-w","title":"Simulating two-dimensional lattice gauge theories on a qudit quantum computer","year":2025,"lang":"en","type":"article","venue":"Nature Physics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Engineering and Physical Sciences Research Council; HORIZON EUROPE Framework Programme; QuantERA; Austrian Science Fund; Canada First Research Excellence Fund; Österreichische Forschungsförderungsgesellschaft; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Physics; Lattice gauge theory; Quantum simulator; Quantum computer; Gauge theory; Qubit; Open quantum system; Quantum algorithm; Quantum mechanics; Quantum information; Quantum; Theoretical physics; Quantum technology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002332575,0.0002777788,0.0002686257,0.00008797094,0.0003720834,0.0001973645,0.0007799839,0.0001506983,0.000002539586],"category_scores_gemma":[0.00005009152,0.000224865,0.0001412048,0.0007207923,0.00006506839,0.0001565439,0.0004820109,0.001150882,0.00002931236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003757683,"about_ca_system_score_gemma":0.00009450136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009491192,"about_ca_topic_score_gemma":0.000001262061,"domain_scores_codex":[0.9982739,0.0001144044,0.0002204199,0.0005886909,0.0004181853,0.0003844123],"domain_scores_gemma":[0.9981466,0.000896431,0.0001070731,0.0006336967,0.0001494433,0.00006678535],"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":[0.00001057245,0.00008618347,0.00004099623,0.00001852244,0.00003501465,0.00001384953,0.0001921116,0.1389471,0.0001141401,0.8040948,0.001177154,0.05526957],"study_design_scores_gemma":[0.000343659,0.00005150597,0.0003486663,0.0001225123,0.000007579151,0.000003529238,0.000002173909,0.7372458,0.0006298047,0.259647,0.001409278,0.0001885451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2454861,0.0004466826,0.7378092,0.00632695,0.005069325,0.0003518486,0.00001897859,0.0008776664,0.00361323],"genre_scores_gemma":[0.9351048,6.715276e-7,0.05923211,0.004600435,0.0009279147,0.000003443894,0.00000850306,0.00001525712,0.0001068813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6896187,"threshold_uncertainty_score":0.9169729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006074158088161644,"score_gpt":0.2679105824526971,"score_spread":0.2618364243645355,"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."}}