Investigation of a Bit-Sequence Reconciliation Protocol Based on Neural TPM Networks in Secure Quantum Communications

Fuente: arXiv
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Main Authors: Yorkhov, Matvey, Faerman, Vladimir, Konev, Anton
Format: Preprint
Published: 2025
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author Yorkhov, Matvey
Faerman, Vladimir
Konev, Anton
author_facet Yorkhov, Matvey
Faerman, Vladimir
Konev, Anton
contents The article discusses a key reconciliation protocol for quantum key distribution (QKD) systems based on Tree Parity Machines (TPM). The idea of transforming key material into neural network weights is presented. Two experiments were conducted to study how the number of synchronization iterations and the amount of leaked information depend on the quantum bit error rate (QBER) and the range of neural network weights. The results show a direct relationship between the average number of synchronization iterations and QBER, an increase in iterations when the weight range is expanded, and a reduction in leaked information as the weight range increases. Based on these results, conclusions are drawn regarding the applicability of the protocol and the prospects for further research on neural cryptographic methods in the context of key reconciliation.
format Preprint
id arxiv_https___arxiv_org_abs_2512_13199
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Investigation of a Bit-Sequence Reconciliation Protocol Based on Neural TPM Networks in Secure Quantum Communications
Yorkhov, Matvey
Faerman, Vladimir
Konev, Anton
Quantum Physics
Cryptography and Security
94A05
E.4; I.2.0
The article discusses a key reconciliation protocol for quantum key distribution (QKD) systems based on Tree Parity Machines (TPM). The idea of transforming key material into neural network weights is presented. Two experiments were conducted to study how the number of synchronization iterations and the amount of leaked information depend on the quantum bit error rate (QBER) and the range of neural network weights. The results show a direct relationship between the average number of synchronization iterations and QBER, an increase in iterations when the weight range is expanded, and a reduction in leaked information as the weight range increases. Based on these results, conclusions are drawn regarding the applicability of the protocol and the prospects for further research on neural cryptographic methods in the context of key reconciliation.
title Investigation of a Bit-Sequence Reconciliation Protocol Based on Neural TPM Networks in Secure Quantum Communications
topic Quantum Physics
Cryptography and Security
94A05
E.4; I.2.0
url https://arxiv.org/abs/2512.13199