1 code implementation • 5 Dec 2020 • Xinran Ma, Z. C. Tu, Shi-Ju Ran
In this work, we demonstrate that convolutional neural network (CNN) can learn from the coefficients of local reduced density matrices to estimate the physical parameters of the many-body Hamiltonians, such as coupling strengths and magnetic fields, provided the states as the ground states.
