Balancing continuous-variable quantum key distribution with source-tunable linear optics cloning machine

Guo, Ying; Lv, Geli; Zeng, Guihua

doi:10.1007/s11128-015-1100-3

Cited by 17 publications

(8 citation statements)

References 16 publications

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“…From a practical point of view, the maximal transmission distance and the unconditional security of the secret key are usually disturbed by the environmental noise and dissipation. To solve these problems, the methods of source monitoring [33] and linear optics cloning machine [34] have been proposed subsequently.…”

Section: Introductionmentioning

confidence: 99%

Continuous-variable quantum key distribution with non-Gaussian quantum catalysis

et al. 2019

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The non-Gaussian operation can be used not only to enhance and distill the entanglement between Gaussian entangled states, but also to improve quantum communications. In this paper, we propose an non-Gaussian continuous-variable quantum key distribution (CVQKD) by using quantum catalysis (QC), which is an intriguing non-Gaussian operation in essence that can be implemented with current technologies. We perform quantum catalysis on both ends of the Einstein-Podolsky-Rosen (EPR) pair prepared by a sender, Alice, and find that for the single-photon QC-CVQKD, the bilateral symmetrical quantum catalysis (BSQC) performs better than the single-side quantum catalysis (SSQC). Attributing to characteristics of integral within an ordered product (IWOP) of operators, we find that the quantum catalysis operation can improve the entanglement property of Gaussian entangled states by enhancing the success probability of non-Gaussian operation, leading to the improvement of the QC-CVQKD system. As a comparison, the QC-CVQKD system involving zero-photon and single-photon quantum catalysis outperforms the previous non-Gaussian CVQKD scheme via photon subtraction in terms of secret key rate, maximal transmission distance and tolerable excess noise. arXiv:1811.06698v3 [quant-ph]

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Section: Introductionmentioning

confidence: 99%

Continuous-variable quantum key distribution with non-Gaussian quantum catalysis

et al. 2019

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“… 10 , the communication distance extended to more than 1 km by use of polarized photons. Now the distance of key distribution can reach up to 200 km, and there are some other developments with quantum key distribution, such as refs 11 , 12 , 13 , 14 , 15 , 16 .…”

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confidence: 99%

One Step Quantum Key Distribution Based on EPR Entanglement

et al. 2016

Sci Rep

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A novel quantum key distribution protocol is presented, based on entanglement and dense coding and allowing asymptotically secure key distribution. Considering the storage time limit of quantum bits, a grouping quantum key distribution protocol is proposed, which overcomes the vulnerability of first protocol and improves the maneuverability. Moreover, a security analysis is given and a simple type of eavesdropper’s attack would introduce at least an error rate of 46.875%. Compared with the “Ping-pong” protocol involving two steps, the proposed protocol does not need to store the qubit and only involves one step.

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“…Quantum key distribution (QKD) can establish a common secure key between two authenticated users over a public channel, and its unconditional security is guaranteed by the fundamental laws of quantum mechanics [1]. Continuous-variable quantum key distribution (CV-QKD) loads the key information on the quadrature of the optical field, which has the technical advantages of high key rate [2,3], convenient source preparation [4], high detection efficiency [5], and easy compatibility with existing fiber optic communication networks [6], and has attracted wide interest in the field of quantum information.…”

Section: Introductionmentioning

confidence: 99%

Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

Xing

Ruan

et al. 2022

Photonics

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Phase drift extremely limits the secure key rate and secure transmission distance, which is non-negligible in local oscillation continuous variable quantum key distribution (LLO CV-QKD). In order to eliminate the impact caused by phase drift, we analyze the phase noise of the system and propose a phase compensation method based on convolutional neural network (CNN). Moreover, the compensation is performed on the signal according to the estimated value of phase drift before coherent detection. In numerical simulation, we compare the performance of phase compensation methods based on CNN and Kalman filter (KF), and the results show that CNN-based phase compensation has higher accuracy and stability.

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Balancing continuous-variable quantum key distribution with source-tunable linear optics cloning machine

Cited by 17 publications

References 16 publications

Continuous-variable quantum key distribution with non-Gaussian quantum catalysis

Continuous-variable quantum key distribution with non-Gaussian quantum catalysis

One Step Quantum Key Distribution Based on EPR Entanglement

Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

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