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Securing quantum error correction against misleading advice from AI agents

Paper recorded by Signals 4 on 2026-09-16 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-16 on arXiv · recorded by Signals 4 on 2026-09-17

Category: cs.AI · 人工智能 · first seen 2026-09-17

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

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#30 most recent of 300 cs.AI papers we have recorded · ↑ newer: Reporting Practice Matters: The Impact of Reference Choice on Chest X- · ↓ older: MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Underst
Cite this page: Securing quantum error correction against misleading advice from AI agents: the #30 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/securing-quantum-error-correction-against-misleading-advice-from-ai-agents.html
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