5 papers
Robust Matrix-Free Newton-Krylov Solvers via Automatic Differentiation
Marco Pasquale, Stefano Markidis
Jacobian-Free Newton-Krylov (JFNK) methods avoid forming the full Jacobian, but still require Jacobian-vector products, i.e., Gateaux derivatives of the nonlinear residual along Kr…
Quantum Optimization for Electromagnetics: Physics-Informed QAOA for Reconfigurable Intelligent Surfaces
Marco Pasquale, Erik M. Ã sgrim, Stefano Markidis +1
Optimizing Reconfigurable Intelligent Surfaces (RIS) is a high-dimensional combinatorial challenge. Current quantum algorithms often simplify this problem by ignoring physical cons…
BVH-Accelerated Ray Tracing for High-Frequency Electromagnetic Backscattering
Marco Pasquale, Andong Hu, Luca Pennati +2
As computational complexity in electromagnetics increases with frequency, full-wave solvers become computationally infeasible for electrically large problems. To address this limit…
Tensor Network Compression for Fully Spectral Vlasov-Poisson Simulation
Erik M. Ã sgrim, Luca Pennati, Marco Pasquale +1
We propose a numerical method for kinetic plasma simulation in which the phase-space distribution function is represented by a low-rank tensor network with an adaptive level of com…
QPU Micro-Kernels for Stencil Computation
Stefano Markidis, Luca Pennati, Marco Pasquale +2
We introduce QPU micro-kernels: shallow quantum circuits that perform a stencil node update and return a Monte Carlo estimate from repeated measurements. We show how to use them to…