{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546038,0.000551396,0.0005011676,0.0004957675,0.0007736901,0.001834442,0.001044907,0.001061383,0.01213786],"category_scores_gemma":[0.005705006,0.0003847213,0.0008276319,0.0004421167,0.001769216,0.003072528,0.001372709,0.00179274,0.002914239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007855982,"about_ca_system_score_gemma":0.0006002242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002102184,"about_ca_topic_score_gemma":0.000603011,"domain_scores_codex":[0.9986271,0.0005736281,0.00007428798,0.0002474949,0.0003219929,0.0001555861],"domain_scores_gemma":[0.9977419,0.0008374649,0.0002664019,0.0007399513,0.0002583299,0.0001558756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000587033,0.00003372764,0.0002053348,0.0001115945,0.00001783676,0.00005514344,0.0001083353,0.00567982,0.003350002,0.9442136,0.003950404,0.04221549],"study_design_scores_gemma":[0.00007078041,0.0002193835,0.0002408625,0.00008790654,0.00002592362,0.0002564011,0.00008913458,0.04605078,0.01204313,0.9120217,0.02884072,0.00005330307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04051318,0.0007716407,0.9062493,0.002021383,0.0004331484,0.0002168781,0.0003767133,0.0008889653,0.04852881],"genre_scores_gemma":[0.5676645,0.001424439,0.3921076,0.001673623,0.0004717402,0.0007930001,0.0005624425,0.0006532951,0.03464928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01213786,"threshold_uncertainty_score":0.04060519,"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."}}