1 citations · 1 across the 4 of their papers we have counts for
4 papers
QVaR: a Quantum Variational Regularization method for Linear Inverse Problems
Siiri Rautio, Hjørdis Schlüter, Andreas Hauptmann +1
We present a tailored framework for solving regularized linear inverse problems using quantum optimization methods. By discretizing the solution space and encoding data fidelity an…
Gauge freedoms in the anisotropic elastic Dirichlet-to-Neumann map
Joonas Ilmavirta, Hjørdis Schlüter
We address the inverse problem of recovering the stiffness tensor and density of mass from the Dirichlet-to-Neumann map. We study the invariance of the Euclidean and Riemannian ela…
Jacobian of solutions to the conductivity equation in limited view
Mikko Salo, Hjørdis Schlüter
The aim of hybrid inverse problems such as Acousto-Electric Tomography or Current Density Imaging is the reconstruction of the electrical conductivity in a domain that can only be…
Conductivity reconstruction from power density data in limited view
Bjørn Jensen, Kim Knudsen, Hjørdis Schlüter
In Acousto-Electric tomography, the objective is to extract information about the interior electrical conductivity in a physical body from knowledge of the interior power density d…