Differentiable Quantum-Informed Neural Inversion for Transonic Solar Wind Parameters
Abstract
A hybrid Physics-Informed Quantum Neural Network (PIQNN) framework designed to solve the inverse problem of heliospheric parameter estimation using differentiable physics and variational quantum circuits.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026