2 papers
math.OC2026
A quadratic Grassmann manifold optimization problem arising from quantum embedding methods
Thomas Ayral, Eric Cancès, Fabian M. Faulstich +2
This article presents a mathematical analysis and numerical strategies for solving the optimization problem of minimizing the quadratic function $J(P) = \text{Tr}(BP)- \frac{1}{2}…
cond-mat.str-el2025
New perspectives on Density-Matrix Embedding Theory
Alicia Negre, Fabian Faulstich, Raehyun Kim +3
Quantum embedding methods enable the study of large, strongly correlated quantum systems by (usually self-consistent) decomposition into computationally manageable subproblems, in…