250 citations · 1.9k across the 52 of their papers we have counts for
4 papers · 1 filter
Self-Learning Determinantal Quantum Monte Carlo Method
Xiao Yan Xu, Yang Qi, Junwei Liu +2
Self-learning Monte Carlo method [arXiv:1610.03137, 1611.09364] is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we i…
Self-Learning Monte Carlo Method in Fermion Systems
Junwei Liu, Huitao Shen, Yang Qi +2
We develop the self-learning Monte Carlo (SLMC) method, a general-purpose numerical method recently introduced to simulate many-body systems, for studying interacting fermion syste…
Self-Learning Monte Carlo Method
Junwei Liu, Yang Qi, Zi Yang Meng +1
Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of general and efficient update algori…
Caution on emergent continuous symmetry: a Monte Carlo investigation of transverse-field frustrated Ising model on triangle and honeycomb lattices
Yan-Cheng Wang, Yang Qi, Shu Chen +1
Continuous symmetries are believed to emerge at many quantum critical points in frustrated magnets. In this work, we study two candidates of this paradigm: the transverse-field fru…