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Hello! I am Smit Chaudhary. A physicist, ML Developer, and a full-time nerd. I enjoy training large neural networks to get them to solve problems they have not seen before.
What I’ve Been Up To
- PASQAL - Machine Learning 🤝 Quantum Computing
Built Scientific ML systems. Trained Neural Networks. Minimized losses. Shipped APIs that let others use our Quantum Neural Networks to minimize their losses. - Menten AI - Research Intern
Built Generative Adversarial Networks in JAX. Made them quantum. Taught them discrete data. Published the results. - TU Delft - Master’s in Applied Physics
Built optimization algorithms in Quantum Machine Learning group. Implemented GANs for quantum states. Researched barren plateaus. Learned Physics. Applied Physics. - IIT Kanpur - Bachelor’s in Physics
Learned a lot. Forgot a lot. Learned to learn again. Learned to forget only some. Still reaping the benefits of those fundamentals.
More About Me
- Grew up in India, now live in Rotterdam, The Netherlands.
- Stop-Motion Animation
I enjoy the process of meticulously crafting each frame where hours worth of effort bears a small (often satisfying) few-seconds long clip. - Open Source
Always looking for open source alternatives to everything. Yes, everything. And you should also sponsor your favorite open source projects. Goes a long way. - Build From Scratch
Building something from ground up is my usual way of, uhm, scratching the itch. Not just now on weekend(s) projects but also during academic projects. - I Self-Host by the way
Ok. I am not annoying about it (yet) but I am starting to move more and more of my stuff off someone else’s cloud and my own VPS. Hetzner and Coolify for the win. - Languages and Etymology
I am fortunate to be part of a diverse set of friends, which means many discussions about the similarities and differences in our languages. Have many unfounded theories.
Publications
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Solving Fluid Dynamics Equations with Differentiable Quantum Circuits
Proceedings of the 35th Parallel CFD International Conference 2024 (2025) -
Quantum Circuit Training with Growth-Based Architectures
arXiv preprint (2024) -
Towards a scalable discrete quantum generative adversarial neural network
Quantum Science and Technology (2023) -
Quantum Machine Learning: A Review and Current Status
Springer Singapore (2020)