1 code implementation • 24 Oct 2019 • Chae-Yeun Park, Michael J. Kastoryano
Combining insights from machine learning and quantum Monte Carlo, the stochastic reconfiguration method with neural network Ansatz states is a promising new direction for high-precision ground state estimation of quantum many-body problems.
