Flow matching has become a dominant paradigm in generative modeling. We develop Quantum Flow Matching, with diverse applications: generate states with target magnetization and entanglement entropy; probe nonequilibrium free energy and superdiffusion. arxiv.org/abs/2508.12413

We have several open, fully-funded PhD and Postdoc positions at my group, now at the University of Tübingen. Please #RT and share with potential candidates!

Generally: AI for scientific discoveries in physics 🔥.
mariokrenn.wordpress.com/wp-content/u...

The first list filled up, so here's a second list of AI for Science researchers on bluesky.

Let me know if I missed you / if you'd like to join!

bsky.app/starter-pack...

Glad to discuss more science in this platform😁. Our group studies stochastic process, machine learning, and nonequilibrium statistical physics. jamestang23.github.io