{"id":"W2680004203","doi":"10.1103/physrevlett.119.130503","title":"Improving a Solid-State Qubit through an Engineered Mesoscopic Environment","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mesoscopic physics; Physics; Dephasing; Quantum entanglement; Quantum mechanics; Qubit; Coherence (philosophical gambling strategy); Quantum technology; Quantum information; Quantum computer; Quantum state; Quantum sensor; Photon; Quantum; Open quantum system; Quantum network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001525164,0.0002746517,0.0005160634,0.00001404082,0.0003465292,0.0001355233,0.0007043081,0.000007920126,0.0001629747],"category_scores_gemma":[0.0000106004,0.0002365226,0.0002435349,0.00003640549,0.0001598341,0.0007162463,0.0002295417,0.0003193946,0.0004231567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007101132,"about_ca_system_score_gemma":0.00005418158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002596406,"about_ca_topic_score_gemma":3.839546e-7,"domain_scores_codex":[0.9983768,0.00007568038,0.0002515479,0.0004512466,0.0003282183,0.0005165195],"domain_scores_gemma":[0.9984598,0.00004787075,0.0001945636,0.001101634,0.00001818735,0.0001779349],"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":[0.00005400911,0.001740412,0.0069302,0.002074344,0.000875568,0.00006178523,0.002737514,0.0009094556,0.3227077,0.03530565,0.007981621,0.6186217],"study_design_scores_gemma":[0.01063239,0.0005366665,0.01290808,0.006897257,0.001654824,0.00001060287,0.000464429,0.5729641,0.1233992,0.1066117,0.1547348,0.009186031],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197745,0.0008994194,0.07120152,0.004299825,0.00014122,0.0009958984,0.00006207218,0.00006646701,0.002559091],"genre_scores_gemma":[0.9971187,0.0004181055,0.0002688195,0.001407864,0.0005204697,0.0001203264,0.00003187058,0.00004144153,0.00007238759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6094357,"threshold_uncertainty_score":0.9645113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512352156942533,"score_gpt":0.3355588235341879,"score_spread":0.3104353019647626,"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."}}