{"id":"W1670861901","doi":"10.1103/physrevlett.106.083601","title":"Tunable Coupling in Circuit Quantum Electrodynamics Using a Superconducting Charge Qubit with a<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>V</mml:mi></mml:math>-Shaped Energy Level Diagram","year":2011,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Defense Advanced Research Projects Agency","keywords":"Qubit; Physics; Superconducting quantum computing; Phase qubit; Charge qubit; Coupling (piping); Flux qubit; Quantum computer; Quantum mechanics; Superconductivity; Trapped ion quantum computer; Charge (physics); Topology (electrical circuits); Quantum; Electrical engineering; Quantum error correction; Materials science","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":[0.0004502692,0.0002968268,0.0003091966,0.0001166653,0.0002494801,0.00019175,0.0006846072,0.00006761083,0.000008026788],"category_scores_gemma":[0.00007718524,0.0002984921,0.0003113795,0.0007168119,0.0001339965,0.001153931,0.0002021845,0.0004049517,0.0001234682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000240858,"about_ca_system_score_gemma":0.000131722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003526463,"about_ca_topic_score_gemma":0.00004127703,"domain_scores_codex":[0.9977598,0.00005165361,0.0005398387,0.0004734528,0.0005157194,0.0006595475],"domain_scores_gemma":[0.9986925,0.0001285566,0.0003646806,0.0006026651,0.00005209734,0.0001594833],"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":[0.00001136893,0.0001168423,0.00002392792,0.0004665774,0.00005346975,0.00003475614,0.000628331,0.0002348189,0.005078685,0.9927714,0.00002093783,0.000558911],"study_design_scores_gemma":[0.0002376957,0.0001157188,0.00005732296,0.000933045,0.0000644959,0.00005643654,0.00006127125,0.9966141,0.0008312571,0.0004237069,0.0002706652,0.000334307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9310129,0.0005085886,0.06774135,0.0003043889,0.0001400293,0.00006824408,0.000006619839,0.0001063659,0.0001115384],"genre_scores_gemma":[0.9918208,0.0007042736,0.002282396,0.004845871,0.0001403795,0.000121603,0.00003560527,0.00004759552,0.000001541835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9963793,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861349604784351,"score_gpt":0.2521370596990439,"score_spread":0.2135235636512004,"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."}}