Machine-Learned Compact Subspace Generation for Quantum Selected Configuration Interaction within Density Matrix Embedding Framework
This work introduces a machine-learned compact subspace generation protocol based on Restricted Boltzmann Machines, termed QSCI-RBM, and integrates it within the Density Matrix Embedding Theory (DMET) framework, highlighting that RBM-assisted configuration generation produces significantly more compact subspace while p...