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
21.08.2025 02:55 — 👍 4 🔁 0 💬 0 📌 0
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...
27.05.2025 23:24 — 👍 19 🔁 14 💬 0 📌 1
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...
20.11.2024 08:56 — 👍 70 🔁 29 💬 58 📌 0
✋ please, thanks
28.11.2024 01:11 — 👍 1 🔁 0 💬 1 📌 0
AI4Physics
Glad to discuss more science in this platform😁. Our group studies stochastic process, machine learning, and nonequilibrium statistical physics. jamestang23.github.io
18.11.2024 02:21 — 👍 0 🔁 0 💬 0 📌 0
Tenured Researcher @INRIA, Ockham team. Teacher @Polytechnique
and @ENSdeLyon
Machine Learning, Python and Optimization
Research scientist on Google's quantum team, working on reducing the cost of quantum error correction.
Useful tools I've made:
- Quirk: https://algassert.com/quirk
- Stim: https://github.com/quantumlib/stim
- Crumble: https://algassert.com/crumble
Physics and biology of microbial communities. Structure, function, evolution. Center for the Physics of Evolving Systems. Dept. of Ecology and Evolution. UChicago. @NITMB, @CLS. kuehnlab.org
Interested in #physics of life. Theorist but some of my best friends are experimentalists.
The Laboratory of Computational Neuroscience @EPFL studies models of neurons, networks of neurons, synaptic plasticity, and learning in the brain.
Statistical physics of the brain 🧠 & other complex systems 🦠 | Asst Prof of Physics & QBio at Yale
X: @ChrisWLynn
Lab: lynnlab.yale.edu/
Scientific AI/ machine learning, dynamical systems (reconstruction), generative surrogate models of brains & behavior, applications in neuroscience & mental health
Discover the Languages of Biology
Build computational models to (help) solve biology? Join us! https://www.deboramarkslab.com
DM or mail me!
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Head of Sci/cofounder at futurehouse.org. Prof of chem eng at UofR (on sabbatical). Automating science with AI and robots in biology. Corvid enthusiast
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
Researcher at Flatiron Institute. Methods for solving high-dimensional problems, tensor networks, and the ITensor software.
Studying Light-Matter Interactions at Texas A&M
Theoretical Chemistry, Light-Matter Interactions, Quantum Dynamics
https://mandalgrouptamu.com
#compchem #chemsky #theochem
Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
Postdoc @harvard.edu @kempnerinstitute.bsky.social
Homepage: http://satpreetsingh.github.io
Twitter: https://x.com/tweetsatpreet
a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Math Assoc. Prof. (On leave, Aix-Marseille, France)
Teaching Project (non-profit): https://highcolle.com/
PhD Student in quantum foundations and quantum information
