Free space quantum key distribution parameter optimization method based on machine learning
A quantum key distribution, free space technology, applied in the field of machine learning-based free space quantum key distribution parameter optimization, can solve problems such as restricting system performance, difficult to match channel complexity, inability to efficiently match, etc., to improve system efficiency , the effect of reducing computational complexity
Active Publication Date: 2020-08-18
NAT UNIV OF DEFENSE TECH
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[0002]
At present, free space quantum key distribution needs to build a stable and efficient transmission link within the limited access communication time of both parties, but the low-orbit satellite and the ground station are always in high-speed relative motion, and the link distance and transmission efficiency change dynamically. The traditional physical parameter configuration will not be able to efficiently match real-time dynamic channel conditions. The traditional methods of powerful global search for fewer parameters or local search algorithms for more parameters are difficult to match the complexity brought about by channel dynamic changes. , is not suitable for fast and dynamically changing free-space quantum key distribution channels, and has become one of the problems restricting the performance of free-space quantum key distribution systems
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[0025] Using a machine learning-based free-space quantum key distribution parameter optimization method of the present invention to simulate and verify the optimization results of the single-arm measurement device-independent quantum key distribution protocol, first establish the Micius single-arm measurement device-independent quantum key distribution protocol Satellite-to-earth physical links, such as figure 1 As shown, the satellite-ground link between Micius and the Ali ground station is modeled, and then the satellite-ground free space quantum key distribution is realized by using STK (Satellite Tool Kit) and MATLAB, and finally through global optimization and partial The results of optimization and comparative analysis of the key generation rate after machine learning optimization are as follows: figure 2 shown.
[0026] Depend on figure 2 It can be seen that using a machine learning-based free-space quantum key distribution parameter optimization method of the prese...
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The invention discloses a free space quantum key distribution parameter optimization method based on machine learning. The method specifically comprises the following steps: 1, collecting a free spacequantum key distribution satellite-ground link state; and 2, completing parameter optimization of free space quantum key distribution based on a machine learning method by utilizing the acquisition result in the step 1. The method aims at free space quantum key distribution with dynamically changed link distance and transmission efficiency, under the conditions of angular velocity and random vibration, a machine learning optimization method is used for carrying out optimization research on dynamically changing QKD (quantum key distribution) protocol parameters and establishing an efficient and stable quantum channel, so that the channel efficiency is improved, and the bit error rate of the quantum key is reduced.
Description
technical field [0001] The invention belongs to the technical field of quantum information processing, and relates to a method for optimizing parameters of free-space quantum key distribution based on machine learning. Background technique [0002] At present, free space quantum key distribution needs to build a stable and efficient transmission link within the limited access communication time of both parties, but the low-orbit satellite and the ground station are always in high-speed relative motion, and the link distance and transmission efficiency change dynamically. The traditional physical parameter configuration will not be able to efficiently match real-time dynamic channel conditions. The traditional methods of powerful global search for fewer parameters or local search algorithms for more parameters are difficult to match the complexity brought about by channel dynamic changes. , which is not suitable for fast and dynamically changing free-space quantum key distrib...
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IPC IPC(8): H04L9/08G06N20/00
CPCH04L9/0852H04L9/0819G06N20/00Y02D30/70
Inventor 东晨王星宇刘潇文冉昊丹吴田宜刘伟李卫
Owner NAT UNIV OF DEFENSE TECH