LATIDIA · Ciberseguridad

Asegurar la corrección de errores cuánticos contra los consejos engañosos de los agentes de IA

arXiv: 2609.19090v1Announce Type: cross Resumen: ¿Puede un atacante convertir la influencia sobre un asesor de inteligencia artificial (IA) en una actualización dañina de corrección de errores cuánticos? Identificamos una ambigüedad en el síndrome pasivo r

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arXiv:2609.19090v1 Announce Type: cross Abstract: Can an attacker turn influence over an artificial intelligence (AI) adviser into a harmful quantum error-correction update? We identify an ambiguity in passive syndrome records that obstructs recovery selection, then show how additional calibration measurements support certified recovery updates under uncertainty and drift. In an odd-distance square toric code with error-free preparation, syndrome measurements, and recovery operations, opposite coherent $X$ rotations produce identical passive syndrome-history distributions. Yet a fixed phase correction can help at one sign and harm at the other. A terminal logical measurement on known encoded calibration states supplies the missing sign information. A separate evaluator accepts an update only when calibration uncertainty