3 papers
math.NA2026
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…
math.AP2026
Bayesian Formulation of Acousto-Electric Tomography and Quantified Uncertainty in Limited View
Hjørdis Schlüter, Babak Maboudi Afkham
Acousto-electric tomography (AET) is a hybrid imaging modality that combines electrical impedance tomography with focused ultrasound perturbations to obtain interior power density…
math.AP2024
Feasibility of hybrid inverse problems in limited view
Hjørdis Schlüter
Hybrid inverse problems such as Acousto-Electric Tomography, Current Density Imaging or Magnetic Resonance Electric Impedance Tomography are concerned with reconstructing the elect…