{"id":"W2980835754","doi":"10.1103/physrevlett.125.260505","title":"Obstacles to Variational Quantum Optimization from Symmetry Protection","year":2020,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Institute for Quantum Information and Matter, California Institute of Technology; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Conjecture; Symmetry (geometry); Quantum; Locality; Ising model; Physics; Topology (electrical circuits); Mathematics; Quantum mechanics; Theoretical physics; Combinatorics; Geometry","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":[0.003808418,0.0004121743,0.001005422,0.0003896698,0.0008656057,0.001548859,0.00191008,0.001866821,0.00465469],"category_scores_gemma":[0.01500405,0.0005139768,0.0007425001,0.0005219168,0.0038592,0.003447765,0.002787942,0.003121505,0.0004801187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299393,"about_ca_system_score_gemma":0.001891576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794407,"about_ca_topic_score_gemma":0.001446611,"domain_scores_codex":[0.9984878,0.0008229295,0.00006165018,0.0001457893,0.0003506604,0.0001310557],"domain_scores_gemma":[0.9942914,0.004137165,0.0002150007,0.0009377851,0.0002568475,0.0001617567],"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":[0.0000509315,0.00002521653,0.0001803496,0.00008165481,0.0000244242,0.00003241085,0.0000592574,0.09163422,0.0008467819,0.8939031,0.001239709,0.01192197],"study_design_scores_gemma":[0.0000216901,0.00002631161,0.00006695066,0.00001938851,0.000004441765,0.00002022206,0.00001565402,0.3978751,0.000513337,0.6001854,0.001241864,0.000009549947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08779801,0.002087264,0.8614625,0.007207353,0.0002323432,0.0001267938,0.0001514981,0.0003470945,0.04058715],"genre_scores_gemma":[0.8633503,0.001083575,0.1293209,0.0008157801,0.0001589041,0.0002266677,0.00009733928,0.0002436098,0.004702955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00465469,"threshold_uncertainty_score":0.02014112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941405164572249,"score_gpt":0.2522649859887701,"score_spread":0.2328509343430476,"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."}}