Quantum

The sign network expresses different approximate sign rules and improves the accuracy of neural quantum states.

A two-layer autoregressive network is used for solving the ground state of 1D transverse field Ising model and 1D hard core Bose-Hubbard model. The insets show the relative error of energy.

The stochastic series expansion (SSE) is used to study the phase diagram of the 1D Bose-Hubbard model. In the animations, the x-axis shows different atoms in the chain and the y-axis shows the slices in SSE.