Accuracy of Restricted Boltzmann Machines for the one-dimensional $J_1-J_2$ Heisenberg model

Understand

Neural networks have been recently proposed as variational wave functions for quantum many-body systems [G.

• Carleo and M.
• Troyer, Science 355, 602 (2017)].
• In this work, we focus on a specific architecture, known as Restricted Boltzmann Machine (RBM), and analyse its accuracy for the spin-1/2 $J_1-J_2$ antiferromagnetic Heisenberg model in one spatial dimension.