7 citations · 12 across the 4 of their papers we have counts for
4 papers
End-to-end performance of quantum-accelerated large-scale linear algebra workflows
Daiwei Zhu, Miguel Angel Lopez-Ruiz, François-Henry Rouet +5
Solving large-scale sparse linear systems is a challenging computational task due to the introduction of non-zero elements, or "fill-in". The Graph Partitioning Problem (GPP) arise…
Accelerating large-scale linear algebra using variational quantum imaginary time evolution
Willie Aboumrad, Daiwei Zhu, Claudio Girotto +6
The solution of large sparse linear systems via factorization methods such as LU or Cholesky decomposition, can be computationally expensive due to the introduction of non-zero ele…
A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization
François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels +1
We present a distributed-memory library for computations with dense structured matrices. A matrix is considered structured if its off-diagonal blocks can be approximated by a rank-…
An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling
Pieter Ghysels, Xiaoye S. Li, Francois-Henry Rouet +2
We present a sparse linear system solver that is based on a multifrontal variant of Gaussian elimination, and exploits low-rank approximation of the resulting dense frontal matrice…