Researchgraph neural networksquantum entanglementsdrgfinite temperature
GNN Learns SDRG Decimation For Quantum Entanglement
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On March 5, 2026 Stefan Kettemann posted an arXiv preprint training machine learning to infer entanglement in disordered long-range S=1/2 quantum spin chains using the strong disorder renormalisation group (SDRG) as a teacher. A graph neural network achieves near-perfect pairing accuracy, reproduces entanglement entropy S(ℓ) across interaction exponents, and extends to finite-temperature properties via an SDRGX two-stage strategy without retraining.
Scoring Rationale
Strong empirical results and methodological novelty, limited by single-source arXiv preprint and lack of peer review.
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