Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model
Accelerating lattice quantum Monte Carlo simulations using artificial neural networks: Application to the Holstein model
Monte Carlo (MC) simulations are essential computational approaches with widespread use throughout all areas of science. We present a method for accelerating lattice MC simulations using fully connected and convolutional artificial neural networks that are trained to perform local and global moves in configuration space, respectively. Both networks take local …