Self-adaptive differential phase-shift quantum key distribution system based on deep neural network and implementation method of system

A deep neural network and quantum key distribution technology, applied in key distribution, can solve problems such as resource waste, impact, and inability to adapt to various channel environments, and achieve the effect of saving system resources and improving security

Inactive Publication Date: 2018-08-03
CENT SOUTH UNIV
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Problems solved by technology

[0003] The performance of differential phase-shift quantum key distribution is affected by the key agreement algorithm. In practical applications, the channel environment is constantly cha

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  • Self-adaptive differential phase-shift quantum key distribution system based on deep neural network and implementation method of system
  • Self-adaptive differential phase-shift quantum key distribution system based on deep neural network and implementation method of system

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[0040] The present invention will be further clearly and completely described below with reference to the specific embodiments and the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] The present invention is an adaptive differential phase-shift quantum key distribution system based on a deep neural network, such as Figure 1-2 shown, including:

[0042] The quantum key sending end is used to modulate the quantum signal with 0 or π phase, and send the modulated signal to the quantum key receiving end through the quantum channel;

[0043] The quantum key receiving end is used for differential detection of quantum signals, and the phase difference of the differ...

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Abstract

The invention discloses a self-adaptive differential phase-shift quantum key distribution system based on a deep neural network and an implementation method of the system. A quantum key sending end modulates a quantum signal and sends the quantum signal to a quantum key receiving end through a quantum channel; the quantum key receiving end carries out differential detection on the received signaland sends a detection result to a signal-to-noise ratio monitoring and post-processing module; the signal-to-noise ratio monitoring and post-processing module adopts a deep neural network algorithm tomonitor a signal-to-noise ratio of the received signal in real time, and adaptively selects a coding scheme to carry out error correction negotiation and privacy amplification according to the monitored signal-to-noise ratio. According to the system and the method, the signal-to-noise ratio of the system can be accurately calculated in real time through the deep neural network algorithm, a channel state is monitored, an appropriate negotiation scheme can be adaptively selected according to the monitored channel state, the self-adaptive differential phase-shift quantum key distribution is achieved, and the system resources are effectively saved.

Description

technical field [0001] The invention belongs to the technical field of optical fiber quantum communication, and relates to an adaptive differential phase shift quantum key distribution system based on a deep neural network and an implementation method thereof. Background technique [0002] Quantum key distribution enables long-distance communication parties in untrusted quantum channels to safely share keys, and its security is guaranteed by the uncertainty principle of quantum mechanics and the quantum non-cloning theorem. The differential phase-shift quantum key distribution follows the structural characteristics of the differential phase-shift modulation system, which can realize long-distance high-stability quantum key distribution, and its key efficiency is also higher than that of the three mainstream QKD protocols (ie BB84, B92, E91) is higher. Differential phase-shift quantum key distribution has high research value and practicability, and it opens up a new developm...

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Application Information

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IPC IPC(8): H04L9/08H04L1/00H04B10/70
CPCH04B10/70H04L1/0063H04L9/0819H04L9/0838H04L9/0852H04L9/0858H04L9/0869
Inventor 郭迎李嘉伟王一军
Owner CENT SOUTH UNIV
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