I

inverse problems

A project that introduces a Quantum Invertible Neural Network (QINN). The invertible architecture can be trained as a density estimator to perform data generation. Implemented using Pennylane.

This project provides several example implementations of spectrally adapted physics-informed neural networks (PINNs).

Python project for inverse modeling of accelerator lattices.