Exploration of Efficient Neural Network for Path Optimization Method

Yusuke Namekawa,Kouji Kashiwa,Hidefumi Matsuda,Akira Ohnishi,Hayato Takase

Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022)（2023）

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Abstract

We present our attempts to control the sign problem by the path optimization method with emphasis on 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 possibility of the improvement in the learning process.

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Key words

efficient neural network,neural network,optimization,path

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