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Wednesday, October 25th 2017

4:30 pm:

The journal club talk will be about the paper [1]. I will first introduce the famous fermion sign problem [2] in Determinantal Quantum Monte Carlo(DQMC) [3], and then discuss how to circumvent it using a method developed in machine learning community, convolutional neural networks. Introduction to neural networks [4] will be given. In the end, A successful application of this method to distinguish phases and to identify quantum phase transitions will be presented.

[1]Machine learning quantum phases of matter beyond the fermion sign problem

[2]Sign problem in the numerical simulation of many-electron systems

[3]Monte Carlo calculations of coupled boson-fermion systems. I

[4]Neural Networks and Deep Learning

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