2 papers
cond-mat.dis-nn2024
A method for quantifying the generalization capabilities of generative models for solving Ising models
Qunlong Ma, Zhi Ma, Ming Gao
For Ising models with complex energy landscapes, whether the ground state can be found by neural networks depends heavily on the Hamming distance between the training datasets and…
cond-mat.stat-mech2024
Message Passing Variational Autoregressive Network for Solving Intractable Ising Models
Qunlong Ma, Zhi Ma, Jinlong Xu +2
Many deep neural networks have been used to solve Ising models, including autoregressive neural networks, convolutional neural networks, recurrent neural networks, and graph neural…