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Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and
R J Kavitha1, D Ilakkiaselvan1
1Department of Electronics and Communication Engineering, University College of Engineering, Panruti, Tamil Nadu, India.
Network (Bristol, England)
|July 17, 2024
Summary
This study introduces a new Quantum Key Distribution (QKD) method using a specialized neural network (QKD-ERO-MSGCNN) to boost secure key rates in 6G networks. The approach significantly enhances accuracy and transmission distances for secure communication.
Area of Science:
- Quantum Information Science
- Cybersecurity
- Artificial Intelligence
Background:
- Quantum Key Distribution (QKD) offers secure key exchange but faces challenges in efficiency and practical viability.
- The secure key rate is a critical performance metric for QKD systems.
- Existing QKD methods have limitations in extending transmission distances and optimizing error rates.
Purpose of the Study:
- To propose a novel QKD system, QKD-ERO-MSGCNN, for enhanced secure key rates and reduced error rates in 6G wireless networks.
- To improve the performance of QKD by optimizing signal analysis and error rate reduction.
- To extend the practical applicability of QKD in challenging communication environments.
Main Methods:
- Developed QKD and error rate optimization (QKD-ERO-MSGCNN) using multi-head self-attention and gated-dilated convolutional neural networks.
- Integrated variable velocity strategy particle swarm optimization to extend transmission distances.
- Optimized the MSGCNN model with intensified sand cat swarm optimization for quantum bit error rate analysis.
Main Results:
- The QKD-ERO-MSGCNN approach demonstrated significant accuracy improvements over existing methods.
- Achieved 15.57%, 23.89%, and 31.75% higher accuracy compared to various benchmark QKD techniques.
- The method effectively addresses channel obstacles in 6G wireless networks.
Conclusions:
- The proposed QKD-ERO-MSGCNN method offers a substantial advancement in secure key distribution efficiency and accuracy.
- This approach enhances secure key rates and extends transmission distances, making QKD more viable for 6G networks.
- The integration of advanced AI techniques shows promise for overcoming limitations in practical QKD implementations.
