Identifying quantum phase transitions with minimal prior knowledge by unsupervised learning

In this work, we proposed a novel approach for identifying quantum phase transitions in one-dimensional quantum many-body systems using AutoEncoder (AE), an unsupervised machine learning technique, with minimal prior knowledge. The training of the AEs is done with reduced density matrix (RDM) data o...

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Bibliographic Details

Published in:	SciPost Physics Core
Main Author:	Mohamad Ali Marashli, Ho Lai Henry Lam, Hamam Mokayed, Fredrik Sandin, Marcus Liwicki, Ho-Kin Tang, Wing Chi Yu
Format:	Article
Language:	English
Published:	SciPost 2025-03-01
Online Access:	https://scipost.org/SciPostPhysCore.8.1.029