Derives a six-term linear closed form for entanglement entropy from boundary correlators in Rydberg arrays via GNN-guided search, achieving 0.024 nats MAE and portable performance after size-dependent refitting.
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An interpretable closed form for entanglement entropy from bitstrings, guided by a graph neural network
Derives a six-term linear closed form for entanglement entropy from boundary correlators in Rydberg arrays via GNN-guided search, achieving 0.024 nats MAE and portable performance after size-dependent refitting.