{"paper":{"title":"Noise-aware emulation and cross-device validation of neutral atom analog quantum processing units","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.quant-gas"],"primary_cat":"quant-ph","authors_text":"Adrien Signoles, Alexandre Dauphin, Anita Devi, Antoine Cornillot, Anton Quelle, Arun Kumar Abhimanyu, Boris Albrecht, Cl\\'emence Briosne-Frejaville, Constantin Dalyac, Daniel J. Campbell, Dorian Claveau, Fergus Hayes, Ga\\'etan Herc\\'e, Guillaume Villaret, Henrique Silv\\'erio, Joseph Vovrosh, Julien Ripoll, Julius de Hond, Kemal Bidzhiev, Lucas B\\'eguin, Lucas Lassabli\\`ere, Lucas Leclerc, Makrem Chatti, Mauro Mendizabal, Petru Borta, Sergi Juli\\`a-Farr\\'e, Soufiane Kaghad, Thomas Eritzpokhoff, Vittorio Vitale","submitted_at":"2026-07-30T15:29:05Z","abstract_excerpt":"Analog quantum processors based on Rydberg atom arrays are a powerful platform for many-body quantum simulation, combinatorial optimization, and graph machine learning. As these devices become increasingly accessible, establishing confidence in their outputs requires predictive models that quantitatively connect microscopic hardware imperfections to empirical results. Here, we present a noise-aware emulation framework that propagates the dominant noise mechanisms throughout the full computation cycle to predict device behavior. We validate the framework by benchmarking two representative proto"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28364","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/2607.28364/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"}