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Most quantum key distribution (QKD) protocols could be classified as either a discrete-variable (DV) protocol or continuous-variable (CV) protocol, based on how classical information is being encoded. We propose a protocol that combines the best of both worlds: the simplicity of quantum state preparation in DV protocols as well as the cost-effective and high bandwidth of homodyne detectors that are normally used in CV protocols. In addition, our protocol does not require the honest parties to share the same reference phase, in contrast to typical CV-QKD protocols. We then prove the security of the proposed protocol in the asymptotic limit under the assumption of collective attacks. Our simulation suggests that the protocol is suitable for secure and high-speed practical key distribution over short distances.
Discrete-modulated continuous-variable quantum key distribution with homodyne detection is widely known for the simplicity on implementation, the efficiency in error correction and the compatibility with modern optical communication devices. However,
In this paper we report a continuous-variable quantum key distribution protocol using multimode coherent states generated on subcarrier frequencies of the optical spectrum. To detect the quadrature components of bosonic field we propose a coherent de
We consider discrete-modulation protocols for continuous-variable quantum key distribution (CV-QKD) that employ a modulation constellation consisting of a finite number of coherent states and that use a homodyne or a heterodyne-detection receiver. We
Information reconciliation is crucial for continuous-variable quantum key distribution (CV-QKD) because its performance affects the secret key rate and maximal secure transmission distance. Fixed-rate error correction codes limit the potential applic
Continuous-variable quantum key distribution exploits coherent measurements of the electromagnetic field, i.e., homodyne or heterodyne detection. The most advanced security analyses developed so far relied on idealised mathematical models for such me