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cs.NI2026
Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks
Michael Doherty, Alejandra Beghelli, Laura Toni
Reinforcement learning (RL) has been widely applied to dynamic routing, modulation and spectrum assignment (RMSA) in optical networks, yet no prior work has trained a transformer m…
quant-ph2026★ 1 cited
Fast stabilizer state preparation via AI-optimized graph decimation
Michael Doherty, Matteo Puviani, Jasmine Brewer +4
We propose a general method for preparing stabilizer states with reduced two-qubit gate count and depth compared to the state of the art. The method starts from a graph state repre…