Exploration of Efficient Neural Network for Path Optimization Method

Abstract

We present our attempts to control the sign problem by the path optimization method with an emphasis on the efficiency of the neural network. We found a gauge invariant neural network is successful in the 2-dimensional U(1) gauge theory with a complex coupling. We also investigate the possibility of improvement in the learning process.