Quantum Loop Topography for Machine Learning
نویسندگان
چکیده
منابع مشابه
Quantum Loop Topography for Machine Learning.
Despite rapidly growing interest in harnessing machine learning in the study of quantum many-body systems, training neural networks to identify quantum phases is a nontrivial challenge. The key challenge is in efficiently extracting essential information from the many-body Hamiltonian or wave function and turning the information into an image that can be fed into a neural network. When targetin...
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ژورنال
عنوان ژورنال: Physical Review Letters
سال: 2017
ISSN: 0031-9007,1079-7114
DOI: 10.1103/physrevlett.118.216401