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.
The density-matrix renormalization group in the age of matrix product states,
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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.