Machine Learning Topological Invariants with Neural Networks

30 August 2017

Papers citing "Machine Learning Topological Invariants with Neural Networks"

9 / 9 papers shown

Title
Identifying topology of leaky photonic lattices with machine learning E. Smolina L. Smirnov Daniel Leykam Franco Nori D. Smirnova 20 4 0 28 Aug 2023
Autoencoder-Aided Visualization of Collections of Morse Complexes Jixian Li D. V. Boxel Joshua A. Levine 29 0 0 12 Oct 2022
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data Cole Miles A. Bohrdt Ruihan Wu C. Chiu Muqing Xu G. Ji M. Greiner Kilian Q. Weinberger E. Demler Eun-Ah Kim 13 42 0 06 Nov 2020
Learning entropy production via neural networks Dong-Kyum Kim Youngkyoung Bae Sangyun Lee Hawoong Jeong 11 38 0 09 Mar 2020
Information Scrambling in Quantum Neural Networks Huitao Shen Pengfei Zhang Yi-Zhuang You H. Zhai GNN 17 46 0 26 Sep 2019
Machine learning topological phases in real space N. L. Holanda M. Griffith 13 26 0 07 Jan 2019
Visualizing Neural Network Developing Perturbation Theory Yadong Wu Pengfei Zhang Huitao Shen H. Zhai 19 8 0 12 Feb 2018
Identifying Quantum Phase Transitions with Adversarial Neural Networks Patrick Huembeli A. Dauphin P. Wittek AAML 16 55 0 11 Oct 2017
Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics Pantita Palittapongarnpim P. Wittek E. Zahedinejad Shakib Vedaie B. Sanders AI4CE 51 87 0 12 Jul 2016