aiqbench analysis
This research establishes a noise-robust, device-independent self-test protocol for genuine multipartite nonlocality under local operations and shared randomness (LOSR). By deriving explicit bounds on state and measurement deviations relative to Bell-score deficits, the work provides a rigorous framework for validating complex quantum correlations without relying on trusted devices. This advancement is critical for scaling quantum networks and verifying security in distributed quantum computing architectures.
Noise robust self testing from genuine local operation shared randomness multipartite nonlocality Tests
arXiv:2609.15436v1 Announce Type: new Abstract: 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 $\epsilon$, we derive explicit $O(\sqrt{\epsilon})$ vector-norm bounds for the state and the corresponding measurement actions.
Abstract: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 $\epsilon$, we derive explicit $O(\sqrt{\epsilon})$ vector-norm bounds for the state and the corresponding measurement actions.
arXiv:2609.15436 [quant-ph]
(or arXiv:2609.15436v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.15436 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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