{"id":"W4405813211","doi":"10.1103/prxquantum.5.040349","title":"Designs from Local Random Quantum Circuits with <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" overflow=\"scroll\"> <mml:mi>SU</mml:mi> <mml:mo stretchy=\"false\">(</mml:mo> <mml:mi>d</mml:mi> <mml:mo stretchy=\"false\">)</mml:mo> </mml:math> Symmetry","year":2024,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Army Research Office; Air Force Office of Scientific Research; Multidisciplinary University Research Initiative; Office of Science; Tsinghua University; University of Chicago; National Natural Science Foundation of China; U.S. Department of Energy; International Business Machines Corporation; Division of Mathematical Sciences; National Science Foundation","keywords":"Scroll; Order (exchange); Algorithm; Discrete mathematics; Mathematics; Theology","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":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002219439,0.001447672,0.0008629937,0.000648186,0.001708605,0.002874563,0.003530126,0.001608518,0.0002312632],"category_scores_gemma":[0.0007716393,0.001794831,0.001539907,0.001933694,0.001207036,0.001432103,0.002186693,0.002677287,0.001579023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006503068,"about_ca_system_score_gemma":0.001555339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001920653,"about_ca_topic_score_gemma":0.0004235032,"domain_scores_codex":[0.9885536,0.0005966883,0.002028876,0.003095636,0.002932028,0.002793171],"domain_scores_gemma":[0.9921861,0.002594813,0.001273055,0.002465526,0.0002556703,0.0012248],"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":[0.0006786642,0.0004542778,0.00003719586,0.0007642606,0.001248494,0.001916437,0.002502632,0.007445778,0.001196542,0.9654925,0.005495462,0.01276769],"study_design_scores_gemma":[0.002693172,0.001889912,0.00008799502,0.001974082,0.0007474325,0.00118588,0.000785481,0.9149531,0.03258615,0.0386392,0.002558161,0.001899497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067526,0.002762052,0.08342663,0.001004758,0.003581482,0.0001882426,0.0004416604,0.001074736,0.0007678372],"genre_scores_gemma":[0.9882691,0.0004152044,0.006418088,0.001127729,0.0022637,0.0004326949,0.0004391361,0.0005857382,0.00004861664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9268534,"threshold_uncertainty_score":0.9998273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159032680608573,"score_gpt":0.234494651103293,"score_spread":0.2185913830424357,"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."}}