Incorporating probability priors into variational autoregressive networks reduces training burden and enables larger system sizes for sampling in the Ising and Edwards-Anderson models.
Wolff, Collective monte carlo updating for spin systems, Phys
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Monte Carlo simulations determine Tc = 1.30036(1) and ν = 0.671(6) for the XY model on the diamond lattice, with data collapse confirming the 3D XY universality class.
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Variational Autoregressive Networks with probability priors
Incorporating probability priors into variational autoregressive networks reduces training burden and enables larger system sizes for sampling in the Ising and Edwards-Anderson models.
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Monte Carlo Study of the Phase Transition of the $XY$ Model on a Diamond Lattice
Monte Carlo simulations determine Tc = 1.30036(1) and ν = 0.671(6) for the XY model on the diamond lattice, with data collapse confirming the 3D XY universality class.