Generalized n ‐Locality Inequalities in Linear‐Chain Network for Arbitrary Inputs Scenario and Their Quantum Violations

Kumar, Rahul and Pan, Alok Kumar (2022) Generalized n ‐Locality Inequalities in Linear‐Chain Network for Arbitrary Inputs Scenario and Their Quantum Violations. Annalen der Physik. ISSN 0003-3804

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Multipartite nonlocality in a network is conceptually different from standard multipartite Bell nonlocality. In recent times, network nonlocality has been studied for various topologies. A linear-chain topology of the network is considered and the quantum nonlocality (the non-n-locality) is demonstrated. Such a network scenario involves n number of independent sources and n+1$n+1$ parties, two edge parties (Alice and Charlie), and n-1$n-1$ central parties (Bobs). It is commonly assumed that each party receives only two inputs. In this work, a generalized scenario where the edge parties receive an arbitrary n number of inputs (equals to a number of independent sources) is considered and each of the central parties receives two inputs. A family of generalized n-locality inequalities for a linear-chain network for arbitrary n is derived and the optimal quantum violation of the inequalities is demonstrated. An elegant sum-of-squares approach enabling the derivation of the optimal quantum violation of aforesaid inequalities without assuming the dimension of the system is introduced. It is shown that the optimal quantum violation requires the observables of edge parties to be mutually anticommuting.

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IITH Creators:
IITH CreatorsORCiD
Pan, Alok Kumar
Item Type: Article
Additional Information: R.K. acknowledges UGC-CSIR NET-JRF (Fellowship No. 166(Dec.2017)/2018(NET/CSIR)] for financial support. A.K.P. acknowledges the support from the project DST/ICPS/QuST/Theme 1/2019/4.
Uncontrolled Keywords: dimension-independent optimization,quantum networks,quantum nonlocality
Subjects: Physics
Divisions: Department of Physics
Depositing User: . LibTrainee 2021
Date Deposited: 25 Oct 2022 10:22
Last Modified: 25 Oct 2022 10:28
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