{"paper":{"title":"Hardware-efficient erasure-error detection with an integer fluxonium","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Bethany M. Niedzielski, Helin Zhang, Ilan T. Rosen, Jeffrey A. Grover, Jeffrey M. Gertler, Joel \\^I-j. Wang, Junghyun Kim, JunYoung An, Kate Azar, Kyle Serniak, Max Hays, Michael Gingras, Mollie E. Schwartz, Ren\\'ee DePencier Pi\\~nero, Terry P. Orlando, William D. Oliver","submitted_at":"2026-07-29T16:49:25Z","abstract_excerpt":"Erasure-error detection can improve the efficiency of quantum error correction by revealing the times and locations of their error events. In this work, we demonstrate erasure conversions and mid-circuit erasure detections in a single integer fluxonium, in which the states $\\mathrm{|g\\rangle, |f\\rangle}$ encode the logical states and $\\mathrm{|e\\rangle}$ encodes the erasure state. The integer fluxonium suppresses direct $|\\mathrm{f} \\rangle \\rightarrow |\\mathrm{g} \\rangle$ transitions and allows the dominant $|\\mathrm{f} \\rangle \\rightarrow |\\mathrm{e}\\rangle$ transitions to be converted into "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27123","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.27123/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}