Computing time-periodic steady-state currents via the time evolution of tensor network states
Computing time-periodic steady-state currents via the time evolution of tensor network states
We present an approach based upon binary tree tensor network (BTTN) states for computing steady-state current statistics for a many-particle 1D ratchet subject to volume exclusion interactions. The ratcheted particles, which move on a lattice with periodic boundary conditions subject to a time-periodic drive, can be stochastically evolved in time …