AI 中文总结
本文针对LOSR下多体非局域性检验，提出设备无关自检验协议，并建立解析噪声鲁棒自检验，给出贝尔分数偏差ε下的O(√ε)范数界。
AI 中文摘要
在局域操作与共享随机性（LOSR）下，Phys. Rev. Lett. 129, 150401 (2022) 中引入的N体不等式违背，排除了所有通过局域组合涉及至多N-1个方的任意资源而获得的因果网络模型，即使这些模型补充了所有N方之间的共享随机性。在此，我们为此展示了一个设备无关的自检验协议。我们进一步建立了一个解析的噪声鲁棒自检验。对于贝尔分数偏差ε，我们推导了状态及相应测量操作的显式O(√ε)向量范数界。
英文摘要
Violation of the $N$-partite inequality introduced in Phys. Rev. Lett. 129, 150401 (2022) for genuine multipartite nonlocality under local operations and shared randomness (LOSR) rules out all causal-network models obtained by locally composing arbitrary resources involving at most $N-1$ parties, even when supplemented by shared randomness among all $N$ parties. Here, we demonstrate a device-independent self-test protocol for this. We further establish an analytic noise-robust self-test. For a Bell-score deficit $ε$, we derive explicit $O(\sqrtε)$ vector-norm bounds for the state and the corresponding measurement actions.
Comments10+4 pages, comments are welcome
