3 citations · 8 across the 6 of their papers we have counts for
5 papers · 1 filter
Scalable semidefinite programming approach to variational embedding for quantum many-body problems
Yuehaw Khoo, Michael Lindsey
In quantum embedding theories, a quantum many-body system is divided into localized clusters of sites which are treated with an accurate `high-level' theory and glued together self…
Maximizing robustness of point-set registration by leveraging non-convexity
Cindy Orozco Bohorquez, Yuehaw Khoo, Lexing Ying
Point-set registration is a classical image processing problem that looks for the optimal transformation between two sets of points. In this work, we analyze the impact of outliers…
Semidefinite relaxation of multi-marginal optimal transport for strictly correlated electrons in second quantization
Yuehaw Khoo, Lin Lin, Michael Lindsey +1
We consider the strictly correlated electron (SCE) limit of the fermionic quantum many-body problem in the second-quantized formalism. This limit gives rise to a multi-marginal opt…
Convex relaxation approaches for strictly correlated density functional theory
Yuehaw Khoo, Lexing Ying
In this paper, we introduce methods from convex optimization to solve the multimarginal transport type problems arise in the context of density functional theory. Convex relaxation…
Semidefinite Programming Approach for the Quadratic Assignment Problem with a Sparse Graph
Jose F. S. Bravo Ferreira, Yuehaw Khoo, Amit Singer
The matching problem between two adjacency matrices can be formulated as the NP-hard quadratic assignment problem (QAP). Previous work on semidefinite programming (SDP) relaxations…