Fermi Sets: Universal and interpretable neural architectures for fermions
The paper introduces "Fermi Sets," a universal and interpretable neural architecture that approximates fermionic wavefunctions using a provably small number of antisymmetric basis functions multiplied by symmetric factors, achieving superior accuracy over diffusion Monte Carlo benchmarks for metallic solid hydrogen while maintaining minimal computational overhead.