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arxiv: quant-ph/0701168 · v3 · submitted 2007-01-23 · 🪐 quant-ph · cs.CR· cs.IT· math.IT

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Using quantum key distribution for cryptographic purposes: a survey

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classification 🪐 quant-ph cs.CRcs.ITmath.IT
keywords cryptographicsecurityestablishmentdistributionestablishedinfrastructureskeyspotential
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The appealing feature of quantum key distribution (QKD), from a cryptographic viewpoint, is the ability to prove the information-theoretic security (ITS) of the established keys. As a key establishment primitive, QKD however does not provide a standalone security service in its own: the secret keys established by QKD are in general then used by a subsequent cryptographic applications for which the requirements, the context of use and the security properties can vary. It is therefore important, in the perspective of integrating QKD in security infrastructures, to analyze how QKD can be combined with other cryptographic primitives. The purpose of this survey article, which is mostly centered on European research results, is to contribute to such an analysis. We first review and compare the properties of the existing key establishment techniques, QKD being one of them. We then study more specifically two generic scenarios related to the practical use of QKD in cryptographic infrastructures: 1) using QKD as a key renewal technique for a symmetric cipher over a point-to-point link; 2) using QKD in a network containing many users with the objective of offering any-to-any key establishment service. We discuss the constraints as well as the potential interest of using QKD in these contexts. We finally give an overview of challenges relative to the development of QKD technology that also constitute potential avenues for cryptographic research.

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  1. Finite-size general security for differential phase shift keying via variable-length quantum key distribution

    quant-ph 2026-05 unverdicted novelty 7.0

    Finite-size general security for DPSK QKD is achieved with positive key rates for 10^5 signals beyond 12 dB loss via variable-length entropy accumulation and conic optimization.