{"id":"W2212310758","doi":"10.1103/physreva.93.052320","title":"Degeneracy, degree, and heavy tails in quantum annealing","year":2016,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; D-Wave Systems (Canada)","funders":"","keywords":"Quantum annealing; Simulated annealing; Annealing (glass); Quantum; Degeneracy (biology); Hamiltonian (control theory); Qubit; Statistical physics; Physics; Benchmarking; Hamming distance; Quantum mechanics; Mathematics; Computer science; Algorithm; Quantum computer; Mathematical optimization","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"],"consensus_categories":[],"category_scores_codex":[0.0007817658,0.0005476137,0.001504813,0.00008113337,0.000143596,0.00008961411,0.00115348,0.00004198975,0.00000608758],"category_scores_gemma":[0.0007438295,0.0003311698,0.0004560178,0.001085668,0.0001656232,0.0004581481,0.0006816981,0.0004634984,0.0001912009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006311102,"about_ca_system_score_gemma":0.0000990404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000028142,"about_ca_topic_score_gemma":0.000004493391,"domain_scores_codex":[0.9961045,0.0005034442,0.0007250102,0.001181694,0.0006485312,0.0008367783],"domain_scores_gemma":[0.997113,0.0009244815,0.0003001235,0.001118582,0.0001255095,0.0004182421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009048263,0.0004518385,0.0002719637,0.00362568,0.00002929052,0.00005200677,0.0001212763,0.00002062165,0.008275218,0.04962911,0.001631029,0.9358829],"study_design_scores_gemma":[0.001976457,0.00114924,0.007239007,0.1169547,0.0002979596,0.0001663094,0.000005191253,0.534666,0.01602829,0.2329265,0.08523808,0.00335225],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6951433,0.2127035,0.07048069,0.01913451,0.000285923,0.001502717,0.00001771474,0.0003280476,0.0004035851],"genre_scores_gemma":[0.8600085,0.1304224,0.003922665,0.004748641,0.0006800802,0.000136693,0.000004050901,0.00004907673,0.00002787145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9325306,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149803548294638,"score_gpt":0.3366449772711786,"score_spread":0.3151469417882323,"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."}}