{"id":"W2335476401","doi":"10.1103/physreva.85.062329","title":"Proposal for a scalable universal bosonic simulator using individually trapped ions","year":2012,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Initialization; Ion; Nonlinear system; Physics; Scalability; Ion trap; Computer science; Atomic physics; Trapping; Phase (matter); Mode (computer interface); Quantum mechanics","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":[0.000662886,0.0003324642,0.000615242,0.0002729732,0.0005481066,0.0008812409,0.00243035,0.0006997462,0.003430794],"category_scores_gemma":[0.0009314553,0.0003193324,0.00051347,0.0002416197,0.001088188,0.001678435,0.001455866,0.001061306,0.0004642502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255309,"about_ca_system_score_gemma":0.001323043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008586196,"about_ca_topic_score_gemma":0.0009286047,"domain_scores_codex":[0.999728,0.00005955818,0.00001792517,0.00005429525,0.00008101526,0.00005919905],"domain_scores_gemma":[0.9996294,0.0001019405,0.00002681308,0.000124377,0.00006113479,0.00005633386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006946057,0.0004455265,0.003362644,0.0003019018,0.0002591902,0.0007282342,0.0004370829,0.3048759,0.1344951,0.4960475,0.005216759,0.05313564],"study_design_scores_gemma":[0.00009140687,0.0001267498,0.0001079569,0.00001343768,0.00003949364,0.00007579305,0.00002419772,0.9455008,0.02366735,0.02474623,0.005582217,0.00002433286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.161125,0.000203948,0.824741,0.0005936209,0.0001562072,0.0003134493,0.0002171514,0.004531991,0.008117625],"genre_scores_gemma":[0.7347899,0.0001357277,0.2610523,0.0001850834,0.00003266938,0.0005006819,0.0002091278,0.0001214654,0.002973117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003430794,"threshold_uncertainty_score":0.01147711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337526617555425,"score_gpt":0.3228735885119182,"score_spread":0.2891209267563757,"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."}}