What are the recent advancements in integrating quantum computing with machine learning using PennyLane?

How does PennyLane facilitate the integration of quantum computing techniques into machine learning algorithms, and what are some recent examples of practical applications in this field?

Hi @Ahmet_Baskanoglu , welcome to the Forum!
You can find some recent research on Xanadu | Research. There you can filter to see only Quantum Machine Learning (QML) research.

In terms of practical applications we’ve been working hard to show that classical computing is still best than quantum at basically everything. This motivates us to innovate and try new approaches that have never been tried before. You can see the summary of that research in this blog post.

I hope this helps!