PDEs Solutions with Quantum Convolutional Neural Networks

Project information

In this demostrator, we illustrate not only the general procedure of building a QNN via quantum circuit, but also showcase using QNN to predict 2D solution of Poisson equation. To accelerate the convergence, the physics informed NN is introduced. We also show the convergence comprison between QNN and PIQNN.

16 Commits
1 Branch
0 Tags

README
Apache License 2.0

Created on

March 06, 2024

Copy SSH clone URLgit@gitlab.cc-asp.fraunhofer.de:fraunhofer_iao_qc/sequoia_end-to-end/pdes-solutions-with-quantum-convolutional-neural-networks.git
Copy HTTPS clone URLhttps://gitlab.cc-asp.fraunhofer.de/fraunhofer_iao_qc/sequoia_end-to-end/pdes-solutions-with-quantum-convolutional-neural-networks.git

Loading

Datenschutz und Impressum