Error correction in quantum cryptography based on artificial neural networks

TL;DR

This paper introduces a neural network-based key reconciliation method for quantum cryptography, leveraging mutual synchronization of neural networks to improve security and efficiency in error correction during quantum key distribution.

Contribution

It proposes a novel neural network synchronization approach for error correction in quantum cryptography, enhancing security and speed over existing neural cryptography methods.

Findings

Synchronization is faster than in traditional neural cryptography.

The method increases security by preventing eavesdroppers from synchronizing.

Error correction remains effective with low quantum bit error rates.

Abstract

Intensive work on quantum computing has increased interest in quantum cryptography in recent years. Although this technique is characterized by a very high level of security, there are still challenges that limit the widespread use of quantum key distribution. One of the most important problem remains secure and effective mechanisms for the key distillation process. This article presents a new idea for a key reconciliation method in quantum cryptography. This proposal assumes the use of mutual synchronization of artificial neural networks to correct errors occurring during transmission in the quantum channel. Users can build neural networks based on their own string of bits. The typical value of the quantum bit error rate does not exceed a few percent, therefore the strings are similar and also users' neural networks are very similar at the beginning of the learning process. It has been shown that the synchronization process in the new solution is much faster than in the analogous scenario used in neural cryptography. This feature significantly increases the level of security because a potential eavesdropper cannot effectively synchronize their own artificial neural networks in order to obtain information about the key. Therefore, the key reconciliation based on the new idea can be a secure and efficient solution.