Zobrazit v EDS

Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction.

Uloženo v:
Podrobná bibliografie
Název: Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction.
Autoři: Kavitha RJ; Department of Electronics and Communication Engineering, University College of Engineering, Panruti, Tamil Nadu, India., Ilakkiaselvan D; Department of Electronics and Communication Engineering, University College of Engineering, Panruti, Tamil Nadu, India.
Zdroj: Network (Bristol, England) [Network] 2024 Nov; Vol. 35 (4), pp. 379-402. Date of Electronic Publication: 2024 Jul 16.
Způsob vydávání: Journal Article
Jazyk: English
Informace o časopise: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-6536 (Electronic) Linking ISSN: 0954898X NLM ISO Abbreviation: Network Subsets: MEDLINE
Imprint Name(s): Publication: London : Informa Healthcare
Original Publication: Bristol : IOP Pub., c1990-
Výrazy ze slovníku MeSH: Neural Networks, Computer* , Wireless Technology* , Algorithms*, Computer Security ; Humans
Abstrakt: Quantum key distribution (QKD) is a secure communication method that enables two parties to securely exchange a secret key. The secure key rate is a crucial metric for assessing the efficiency and practical viability of a QKD system. There are several approaches that are utilized in practice to calculate the secure key rate. In this manuscript, QKD and error rate optimization based on optimized multi-head self-attention and gated-dilated convolutional neural network (QKD-ERO-MSGCNN) is proposed. Initially, the input signals are gathered from 6G wireless networks which face obstacles to channel. For extending maximum transmission distances and improving secret key rates, the signals are fed to the variable velocity strategy particle swarm optimization algorithm, then the signals are fed to MSGCNN for analysing the quantum bit error rate reduction. The MSGCNN is optimized by intensified sand cat swarm optimization. The performance of the QKD-ERO-MSGCNN approach attains 15.57%, 23.89%, and 31.75% higher accuracy when analysed with existing techniques, like device-independent QKD utilizing random quantum states, practical continuous-variable QKD and feasible optimization parameters, entanglement and teleportation in QKD for secure wireless systems, and QKD for large scale networks methods, respectively.
Contributed Indexing: Keywords: Intensified sand cat swarm optimization; quantum bit error rate reduction; quantum key distribution; secret key rates; secure communication and variable velocity strategy particle swarm optimization algorithm
Entry Date(s): Date Created: 20240717 Date Completed: 20241030 Latest Revision: 20250817
Update Code: 20250818
DOI: 10.1080/0954898X.2024.2375391
PMID: 39014986
Databáze: MEDLINE
Popis
Abstrakt:Quantum key distribution (QKD) is a secure communication method that enables two parties to securely exchange a secret key. The secure key rate is a crucial metric for assessing the efficiency and practical viability of a QKD system. There are several approaches that are utilized in practice to calculate the secure key rate. In this manuscript, QKD and error rate optimization based on optimized multi-head self-attention and gated-dilated convolutional neural network (QKD-ERO-MSGCNN) is proposed. Initially, the input signals are gathered from 6G wireless networks which face obstacles to channel. For extending maximum transmission distances and improving secret key rates, the signals are fed to the variable velocity strategy particle swarm optimization algorithm, then the signals are fed to MSGCNN for analysing the quantum bit error rate reduction. The MSGCNN is optimized by intensified sand cat swarm optimization. The performance of the QKD-ERO-MSGCNN approach attains 15.57%, 23.89%, and 31.75% higher accuracy when analysed with existing techniques, like device-independent QKD utilizing random quantum states, practical continuous-variable QKD and feasible optimization parameters, entanglement and teleportation in QKD for secure wireless systems, and QKD for large scale networks methods, respectively.
ISSN:1361-6536
DOI:10.1080/0954898X.2024.2375391