Reinforcement Learning Based Multi-Tenant Secret-Key Assignment for Quantum Key Distribution Networks

We propose a reinforcement learning based online multi-tenant secret-key assignment algorithm for quantum key distribution networks, capable of reducing tenant-request blocking probability more than half compared to the benchmark heuristics.