{"id":"W7062289949","doi":"","title":"Symmetries, graph properties, and quantum speedupsS","year":2024,"lang":"en","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Scientific Computing Research; Natural Sciences and Engineering Research Council of Canada; Army Research Office; Simons Institute for the Theory of Computing, University of California Berkeley; U.S. Department of Energy; U.S. Department of Defense; Institute for Quantum Information and Matter, California Institute of Technology; Office of Science; Samsung; National Science Foundation","keywords":"Permutation group; Adjacency matrix; Homogeneous space; Quantum; Adjacency list; Quantum algorithm; Permutation (music); Graph; Quantum computer; Hypergraph","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002618499,0.000495513,0.0007674858,0.0007042952,0.001006904,0.002544774,0.001216825,0.001290647,0.005597078],"category_scores_gemma":[0.01398775,0.000497876,0.0008894954,0.000948057,0.003605789,0.008662676,0.001876099,0.002539069,0.0005679492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801449,"about_ca_system_score_gemma":0.001563675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008041043,"about_ca_topic_score_gemma":0.0008240784,"domain_scores_codex":[0.9978989,0.0005741897,0.0000874377,0.0004304052,0.0005901091,0.0004188722],"domain_scores_gemma":[0.9863198,0.007613838,0.0009086563,0.004285969,0.0004643503,0.0004073832],"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":[0.0003761478,0.0002057018,0.002297611,0.0001346625,0.00004130665,0.0001162488,0.000221236,0.04264202,0.01013218,0.9176238,0.003313685,0.02289549],"study_design_scores_gemma":[0.00005466705,0.00009633718,0.0007765943,0.00001206807,0.00002191033,0.0001217691,0.00007018967,0.1160722,0.006491814,0.8740772,0.002183455,0.0000216977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7089489,0.0008669086,0.2514592,0.004719119,0.0001459206,0.0002052278,0.0005486563,0.001192223,0.03191379],"genre_scores_gemma":[0.969609,0.0002353626,0.02774296,0.0002059248,0.00006200402,0.00008671075,0.000188436,0.0001408462,0.001728813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005597078,"threshold_uncertainty_score":0.01872414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272159969621096,"score_gpt":0.2270905289635536,"score_spread":0.1998745320014439,"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."}}