Novel continuous variable quantum key distribution method based on machine learning

A quantum key distribution and machine learning technology, which is applied in the field of new continuous variable quantum key distribution, can solve the problems of occupying system resources, affecting the real-time performance of the system, and affecting the performance of the continuous variable quantum key system, achieving good real-time performance, The effect of low raw key consumption and low computing and storage resource consumption

Active Publication Date: 2019-08-20
HUNAN UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the data negotiation, parameter estimation, and error correction processes occupy a large amount of resources of the system, thus seriou

Method used

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  • Novel continuous variable quantum key distribution method based on machine learning
  • Novel continuous variable quantum key distribution method based on machine learning
  • Novel continuous variable quantum key distribution method based on machine learning

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Embodiment Construction

[0034] Such as figure 1 Shown is a schematic flow chart of the method of the present invention: the novel continuous variable quantum key distribution method based on machine learning provided by the present invention includes a state learning process and a state prediction process, specifically including the following steps:

[0035] Dynamic learning process:

[0036] S1. The sending end prepares a modulated coherent state with a known label, and sends it (through an untrusted quantum channel) to the receiving end;

[0037] S2. The receiving end measures (using a coherent detector) the received modulated coherent state, so as to obtain the measurement result;

[0038] S3. After collecting enough measurement results of step S2, the receiving end performs feature extraction on it, and divides the extracted data into a training set and a test set; specifically, the following steps are used for feature extraction:

[0039] A. The receiving end sets several virtual reference sta...

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Abstract

The invention discloses a novel continuous variable quantum key distribution method based on machine learning. The method comprises: a sending end preparing a modulation coherent state with a known mark and sends the modulation coherent state to a receiving end; the receiving end obtaining a measurement result; extracting features and dividing a training set and a test set; using the training setto train a classifier to obtain a training classifier, and using the test set to test and obtain a quantum classifier; the sending end preparing the secret key into a modulation coherent state and sending the modulation coherent state to the receiving end; the receiving end receiving the modulation coherent state and obtains a measurement result; the receiving end extracting characteristics of themeasurement result, and using a quantum classifier to predict and obtain category marks; and repeating the above steps until the sending end and the receiving end share the original key, and ending the distribution. The method has the advantages of excellent performance, less occupied resources and better real-time performance, and is also suitable for the existing continuous variable quantum keydistribution system.

Description

technical field [0001] The invention specifically relates to a novel continuous variable quantum key distribution method based on machine learning. Background technique [0002] For more than ten years, continuous variable quantum key distribution has been a research hotspot in quantum cryptography and quantum secure communication. It provides a theoretically perfect way to unconditionally guarantee the communication security between legitimate users in untrusted quantum channels. An absolute advantage of continuous variable quantum key distribution compared to discrete variable quantum key distribution is its compatibility with most modern communication technologies, so continuous variable quantum key distribution can be easily deployed on currently used communication networks . Furthermore, the security of continuously variable quantum key distribution protocols against arbitrary collective attacks has been demonstrated for both asymptotically and finitely long domains, a...

Claims

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Application Information

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IPC IPC(8): H04L9/08H04L9/06G06N10/00G06K9/62
CPCH04L9/0852H04L9/0819H04L9/0643G06N10/00G06F18/24
Inventor 廖骎
Owner HUNAN UNIV
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