Learning and interpreting policies for simultaneous entanglement requests in quantum networks

arXiv:2609.30157 · quant-ph, cs.LG · Submitted 2026-09-24 · Read on arXiv

quant-ph, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

Entanglement — 28× in this paper · explained in 3 episodes
Robustness — 10× in this paper · explained in 5 episodes
Reinforcement Learning — 7× in this paper · explained in 4 episodes
Generative AI — 4× in this paper · explained in 2 episodes
Adjacency Matrix — 3× in this paper · explained in 1 episode
Fidelity — 3× in this paper · explained in 2 episodes
Trace — 3× in this paper · explained in 2 episodes
Multipartite Entanglement — 2× in this paper · explained in 2 episodes
Transformer — 2× in this paper · explained in 2 episodes
Action Space — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
D EGREE C ENTRIC T HRESHOLD ROUTING — 1× in this paper
Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
Message Passing Neural Network — 1× in this paper
Objective Function — 1× in this paper · explained in 2 episodes
Q-learning — 1× in this paper · explained in 3 episodes
Redundancy — 1× in this paper · explained in 2 episodes

Sources

Illinois Express Quantum Network (IEQNET): Metropolitan-scale experimental quantum networking over deployed optical fiber

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