Deep learning of phase transitions for quantum spin chains from correlation aspects
Deep learning of phase transitions for quantum spin chains from correlation aspects
Using machine learning (ML) to recognize different phases of matter and to infer the entire phase diagram has proven to be an effective tool given a large dataset. In our previous proposals, we have successfully explored phase transitions for topological phases of matter at low dimensions either in a supervised …