{"id":"W4408818792","doi":"10.1103/physrevlett.134.120601","title":"Fast Flux-Activated Leakage Reduction for Superconducting Quantum Circuits","year":2025,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Université de Sherbrooke","funders":"Army Research Office; National Center of Competence in Research Quantum Science and Technology; ETH Zürich Foundation; Canada First Research Excellence Fund; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Natural Sciences and Engineering Research Council of Canada; European Commission; Intelligence Advanced Research Projects Activity; Eidgenössische Technische Hochschule Zürich; Office of the Director of National Intelligence","keywords":"Magnetic flux quantum; Leakage (economics); Superconductivity; Electronic circuit; Reduction (mathematics); Materials science; Rapid single flux quantum; Quantum; Flux (metallurgy); Condensed matter physics; Physics; Quantum mechanics; Josephson effect","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002905542,0.0002565349,0.0003009823,0.0002119541,0.0003583097,0.0003734179,0.0005047226,0.0003124317,0.00116113],"category_scores_gemma":[0.0008590381,0.0001242573,0.0001139234,0.0002397906,0.0006614784,0.0008520753,0.0006181161,0.0005338223,0.0002500554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004361306,"about_ca_system_score_gemma":0.0002204966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001710262,"about_ca_topic_score_gemma":0.0003442429,"domain_scores_codex":[0.9997683,0.00005490103,0.00001182317,0.00004109035,0.00009589951,0.0000279337],"domain_scores_gemma":[0.9996729,0.00009507755,0.0000923191,0.0000797521,0.000037761,0.00002212846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001936807,0.0000683252,0.0005835551,0.0001436392,0.00001295871,0.00009180581,0.0001888453,0.003644134,0.9035458,0.02299185,0.0007377669,0.06779755],"study_design_scores_gemma":[0.00001874115,0.0003374688,0.0005032723,0.00001716543,0.00001079462,0.0001152478,0.0000260261,0.05870269,0.9297652,0.004716932,0.005763094,0.00002329956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5419246,0.001549867,0.44558,0.0007242382,0.0001552743,0.0001104841,0.00009895232,0.002323378,0.007533149],"genre_scores_gemma":[0.9465097,0.0001729168,0.05190453,0.00008219685,0.00002026707,0.00003779164,0.00002241986,0.00007719824,0.001172875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00116113,"threshold_uncertainty_score":0.003884375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069471466885244,"score_gpt":0.2930201192719917,"score_spread":0.2723254046031393,"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."}}