Reinforcement Learning-based Resource Allocation in Quantum Key Distribution Networks

Yingmin Zuo; Yongli Zhao; Xiaosong Yu; Avishek Nag; Jie Zhang

doi:10.1364/acpc.2020.t3c.6

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JOURNAL ARTICLE

Reinforcement Learning-based Resource Allocation in Quantum Key Distribution Networks

Yingmin Zuo Yongli Zhao Xiaosong Yu Avishek Nag Jie Zhang

Year: 2020 Pages: T3C.6-T3C.6

DOI: 10.1364/acpc.2020.t3c.6

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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.

Keywords:

Reinforcement learning Quantum key distribution Key (lock) Computer science Resource allocation Distributed computing Quantum Computer network Artificial intelligence Computer security

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0.74

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Topics

Quantum Information and Cryptography

Physical Sciences → Computer Science → Artificial Intelligence

Quantum Computing Algorithms and Architecture

Physical Sciences → Computer Science → Artificial Intelligence

Quantum Mechanics and Applications

Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics

Reinforcement Learning-based Resource Allocation in Quantum Key Distribution Networks

Abstract

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Citation History

Topics

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