Stochastic Path Sampler For Lattice Field Theory
This paper introduces the Stochastic Path Sampler (SPS), a novel, data-free neural sampler based on nonequilibrium thermodynamics that generates independent proposals for lattice field theory by minimizing path-space variational free energy, thereby significantly reducing critical slowing down compared to traditional Markov chain Monte Carlo methods.