Characterizing the set of quantum correlations in prepare-and-measure quantum chain-shaped networks
Yanning Jia, Fenzhuo Guo, YuKun Wang, Haifeng Dong, Fei Gao

TL;DR
This paper develops a hierarchy of tests to characterize quantum correlations in prepare-and-measure chain-shaped networks, enabling analysis of quantum information tasks like QRACs and randomness certification with improved precision.
Contribution
It introduces an adapted NPA-hierarchy incorporating sequential measurement constraints for P extbar M quantum networks, advancing the analysis of quantum correlations and randomness certification.
Findings
Derived the optimal trade-off in 2→1 sequential QRACs.
Analyzed semi-device-independent randomness certification.
Quantified local and global randomness from complete probabilities.
Abstract
We introduce a hierarchy of tests satisfied by any probability distribution that represents the quantum correlations generated in prepare-and-measure (P\&M) quantum chain-shaped networks, assuming only the inner-product information of the non-orthogonal quantum states. The P\&M quantum chain-shaped networks involve multiple measurement parties, each measurement party potentially having multiple sequential receivers. Specifically, we adapt the original NPA-hierarchy by incorporating a finite number of linear and positive semi-definite constraints to characterize the quantum correlations in P\&M quantum chain-shaped networks. These constraints in each hierarchy are derived from sequential measurement operators and the inner-product matrix of the non-orthogonal quantum states. We apply the adapted NPA-hierarchy to tackle some quantum information tasks, including sequential quantum…
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Taxonomy
TopicsGraph theory and applications · Spectroscopy and Quantum Chemical Studies · Quantum Information and Cryptography
