Autoregressive networks trained once on fixed lattice volume and discretization estimate reduced density matrix elements for Ising chains, yielding von Neumann and Rényi entanglement entropies for intervals of up to five spins in the continuum limit.
Spectral properties of the critical (1+1)-dimensional Abelian-Higgs model,
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Estimation of the reduced density matrix and entanglement entropies using autoregressive networks
Autoregressive networks trained once on fixed lattice volume and discretization estimate reduced density matrix elements for Ising chains, yielding von Neumann and Rényi entanglement entropies for intervals of up to five spins in the continuum limit.