Genuine multipartite nonlocality detection in graph states
Abstract
Experimental detection of multipartite Bell nonlocality faces many challenges. The increase in the size of the system demands a higher fidelity of state preparation, a higher detection efficiency, and a larger number of correlators that need to be estimated. These issues are even more pronounced if one wishes to detect a more restrictive variant of Bell nonlocality called genuine multipartite nonlocality (GMNL). In this work, we introduce two classes of multipartite Bell inequalities that are capable of detecting GMNL correlations and address different experimental hurdles in GMNL detection. The first class consists of the number of correlators that scales linearly with the number of parties. The second class increases the number of correlators and, in return, provides higher noise robustness of GMNL detection. Both classes of inequalities are constructed to detect GMNL in graph states, and in fact both can be used for self-testing of graph states and the performed measurements.
Related
- Noise robust self testing from genuine local operation shared randomness multipartite nonlocality Tests
- Multi-copy and Catalytic Superactivation of Genuine Multipartite Nonlocality
- Catalytic Activation of Genuine Multipartite Entanglement and Nonlocality
- Genuine Multipartite Nonlocality Is Fermionic Magic
- Minimal Scenarios Witnessing Genuine Multipartite Nonlocality Possibilistically
BibTeX
@misc{makuta2026genuine,
title = {{Genuine multipartite nonlocality detection in graph states}},
author = {Owidiusz Makuta and Flavio Baccari and Remigiusz Augusiak},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.13609},
eprint = {2610.13609},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.13609},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Genuine multipartite nonlocality detection in graph states
AU - Owidiusz Makuta
AU - Flavio Baccari
AU - Remigiusz Augusiak
PY - 2026
DA - 2026/10/09
PB - arXiv
DO - 10.48550/arxiv.2610.13609
UR - https://arxiv.org/abs/2610.13609
AB - Experimental detection of multipartite Bell nonlocality faces many challenges. The increase in the size of the system demands a higher fidelity of state preparation, a higher detection efficiency, and a larger number of correlators that need to be estimated. These issues are even more pronounced if one wishes to detect a more restrictive variant of Bell nonlocality called genuine multipartite nonlocality (GMNL). In this work, we introduce two classes of multipartite Bell inequalities that are capable of detecting GMNL correlations and address different experimental hurdles in GMNL detection. The first class consists of the number of correlators that scales linearly with the number of parties. The second class increases the number of correlators and, in return, provides higher noise robustness of GMNL detection. Both classes of inequalities are constructed to detect GMNL in graph states, and in fact both can be used for self-testing of graph states and the performed measurements.
ER -