{"id":"W4404568877","doi":"10.1103/prxquantum.5.040326","title":"Enhancing Dispersive Readout of Superconducting Qubits through Dynamic Control of the Dispersive Shift: Experiment and Theory","year":2024,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Université de Sherbrooke","funders":"Army Research Office; ETH Zürich Foundation; Intelligence Advanced Research Projects Activity; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Natural Sciences and Engineering Research Council of Canada; Office of the Director of National Intelligence","keywords":"Qubit; Physics; Initialization; Resonator; Quantum computer; Fidelity; High fidelity; Quantum entanglement; Quantum mechanics; Electronic engineering; Quantum; Computer science; Optoelectronics; Telecommunications; Engineering; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003970032,0.0001539295,0.0002297529,0.0000962199,0.000116865,0.00008182287,0.0004695192,0.00005295205,0.00002143512],"category_scores_gemma":[0.00006704321,0.0001033757,0.0001618676,0.0003890797,0.000227264,0.0008434618,0.0001775914,0.0001536396,0.000006631101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002790618,"about_ca_system_score_gemma":0.00006903508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005558848,"about_ca_topic_score_gemma":0.00001222448,"domain_scores_codex":[0.9987227,0.0001240739,0.0004016187,0.0002503452,0.0002843496,0.0002168843],"domain_scores_gemma":[0.9990628,0.0003015214,0.0001338167,0.0003934157,0.00006423914,0.00004417677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001185168,0.0000261221,0.0001535862,0.0001459133,0.00007062187,0.00000160047,0.05326062,0.00001450799,0.02714846,0.9183332,0.00001697828,0.0008165297],"study_design_scores_gemma":[0.002068349,0.0006326162,0.00512364,0.002013448,0.0002044305,0.000081698,0.05979905,0.2647026,0.4063705,0.2563843,0.001551912,0.001067452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6785641,0.00378788,0.3146191,0.001195135,0.0007228213,0.0003256093,0.00001662267,0.00006996238,0.0006988291],"genre_scores_gemma":[0.9990351,0.00006061727,0.000687364,0.0001606189,0.00001643939,0.00001342183,0.000001243317,0.00000905776,0.00001612498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6619489,"threshold_uncertainty_score":0.4215539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008554318214806204,"score_gpt":0.2475004984950143,"score_spread":0.2389461802802081,"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."}}