Characterising the correlations of prepare-and-measure quantum networks

Prepare-and-measure (P&M) quantum networks are the basic building blocks of quantum communication and cryptography. These networks crucially rely on non-orthogonal quantum encodings to distribute quantum correlations, thus enabling superior communication rates and information-theoretic security....

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Bibliographic Details
Published in:npj quantum information 2019-02, Vol.5 (1), Article 17
Main Authors: Wang, Yukun, Primaatmaja, Ignatius William, Lavie, Emilien, Varvitsiotis, Antonios, Lim, Charles Ci Wen
Format: Article
Language:English
Subjects:
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Classical and Quantum Gravitation
Computer applications
Cryptography
Information theory
Physics
Physics and Astronomy
Quantum Computing
Quantum Field Theories
Quantum Information Technology
Quantum Physics
Quantum theory
Relativity Theory
Spintronics
String Theory
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Summary:Prepare-and-measure (P&M) quantum networks are the basic building blocks of quantum communication and cryptography. These networks crucially rely on non-orthogonal quantum encodings to distribute quantum correlations, thus enabling superior communication rates and information-theoretic security. Here, we present a computational toolbox that can efficiently characterise the set of input–output probability distributions for any discrete-variable P&M quantum network, assuming only the inner-product information of the quantum encodings. Our toolbox is thus highly versatile and can be used to analyse a wide range of quantum network protocols, including those that employ infinite-dimensional quantum code states. To demonstrate the feasibility and efficacy of our toolbox, we use it to solve open problems in multipartite quantum distributed computing and quantum cryptography. Taken together, these findings suggest that our method may have implications for quantum network information theory and the development of new quantum technologies.
ISSN:2056-6387
2056-6387
DOI:10.1038/s41534-019-0133-3