Reinforcement Learning-based Resource Allocation in Quantum Key Distribution Networks
Yingmin Zuo, Yongli Zhao, Xiaosong Yu, Avishek Nag, Jie Zhang
Abstract
Efficient utilization of key resources is one of the key problems in quantum key distribution (QKD) networks. This paper verifies the effectiveness of using reinforcement learning to realize resource allocation in QKD networks.
Topics & Concepts
Reinforcement learningQuantum key distributionKey (lock)Computer scienceResource allocationDistributed computingQuantumComputer networkArtificial intelligenceComputer securityPhysicsQuantum mechanicsQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications