{"id":"W2889426946","doi":"10.1126/science.abo6587","title":"Quantum optimization of maximum independent set using Rydberg atom arrays","year":2022,"lang":"en","type":"article","venue":"Science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":432,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Speedup; Rydberg formula; Quantum annealing; Quantum; Rydberg atom; Qubit; Computer science; Quantum computer; Maxima and minima; Degeneracy (biology); Quantum algorithm; Benchmark (surveying); Algorithm; Quantum mechanics; Physics; Mathematics; Parallel computing; Bioinformatics","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":[0.0005511275,0.0002966577,0.0005373483,0.0002805855,0.0003975027,0.0006537143,0.0007213297,0.0006404903,0.002249968],"category_scores_gemma":[0.001508711,0.0002774632,0.0003204119,0.0003714022,0.0009278388,0.0008246098,0.0006920815,0.0008133766,0.0001467402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008060829,"about_ca_system_score_gemma":0.0006961593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343105,"about_ca_topic_score_gemma":0.001976949,"domain_scores_codex":[0.9997748,0.0000805421,0.000006543947,0.00003185175,0.00006754666,0.00003867118],"domain_scores_gemma":[0.9991674,0.0006164494,0.00005284024,0.00007297442,0.00004043505,0.0000498912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002771927,0.0002007747,0.0008568743,0.0001288025,0.00006041978,0.00008580244,0.00009262922,0.8236415,0.02918706,0.1300035,0.001266043,0.01419939],"study_design_scores_gemma":[0.00003816724,0.00004758772,0.0001396419,0.000003516266,0.000004541958,0.00000673361,0.00001266795,0.9783141,0.00535862,0.01578084,0.0002870542,0.000006680495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521893,0.00030396,0.131628,0.0007883871,0.00005360786,0.00005584227,0.0001053859,0.000438578,0.01443702],"genre_scores_gemma":[0.9629543,0.00006203517,0.0357477,0.00004227007,0.000009014541,0.00004303654,0.00004852119,0.00004357599,0.001049535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002249968,"threshold_uncertainty_score":0.007526875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905704883620512,"score_gpt":0.2562398562477634,"score_spread":0.2371828074115583,"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."}}