After ~1 year, we have completed our work on the dynamics of strongly correlated electrons, addressing the problem of thermalization in the 2D Hubbard model. With @ll_viteritti, F. Assaad, @riccardorende, and @gppcarleo. Check the paper at: arxiv.org/abs/2606.05293

Check out our new paper where we show that the same empirical scaling laws found for LLMs govern transformer-based neural wave functions. With @riccardorende, @ll_viteritti, R. Wiersema, A. Georges, and @gppcarleo Link: arxiv.org/abs/2606.02794

Beyond excited that our paper on the global method for quantum dynamics with NQS has been published in PRL! With D. Hendry, @philipVinc, and @gppcarleo. link.aps.org/doi/10.1103/kqv…

I am giving an invited talk tomorrow (March 17 at 3:30 PM in Room 507) at #APSGlobalPhysics26 in Denver, if you are around and want to catch up let me know !

Thrilled and honored to be selected as a 2025 Google PhD Fellow in the field of quantum computing!💻

Thrilled to share our latest paper arxiv.org/pdf/2507.10287 where we formalize VMC for multiple wave function optimization building on the excited state framework of @pfau et al. (science.org/doi/10.1126/sc…). With D. Hendry and @gppcarleo.

Check out our new work with A. F. Mello, M. Collura and @gppcarleo on the first scalable method to compute non-stabilizerness/magic with Neural Quantum States (NQS) arxiv.org/abs/2502.09725. 🪄🧠

We have just released a paper on a new method for time evolution with neural quantum states. Check this out!🧠⚛️ arxiv.org/abs/2412.11778

It's the second time in less than a week that an @arxiv submission from my group is placed on hold (quant-ph). Never happened to me before, what's going on?

Thrilled that our work on neural quantum dynamics has been published in @NatureComms! Discover our fermionic variational wave functions and novel approaches to real-time variational dynamics! Includes: new higher order propagator expansions, new fidelity estimates, etc @cqs_lab

Be careful when you apply for a grant/research prize. Make sure you know all the nonsensical non-written rules the issuer has in mind.

Amazing news! Riccardo Rossi of @cqs_lab @EPFL_en has been recognized with the Hermann Kümmel Early Achievement Award for "groundbreaking advances in computational quantum field theory for many-fermion problems, including determinant algorithms for connected-diagram expansions and resummation techniques, leading to key results on the unitary Fermi gas and the Hubbard model". Congratulations Riccardo, so well deserved! actu.epfl.ch/news/riccardo-r…

If you want to stay current on a challenging problem in quantum physics, bookmark this: hasthehubbardmodelbeensolved…

Check this out!⚛️

Today, I got tenure. It has been a tough, long journey, started 17 years ago with the beginning of my PHD @Sissaschool. 4 Countries, 5 Different Cities, and ~80 papers later, I found my academic home @EPFL . I want to thank all present and past members of @cqs_lab @EPFL for their dedication and hard work; all the kind people who have supported me during these years, especially @MompeanBotias; Sandro Sorella and all the fantastic people from whom I have learnt the things I know; all the people who have hated my work; all the people who have loved my work. Finally, let me also thank @vinniesavon, for being a great mentor in the past 3 years in Lausanne. ethrat.ch/en/appointments-ma…

📢 New research Alert: I'm happy to share our latest work, "Sparse Autoregressive Neural Networks for Classical Spin Systems", with @gppcarleo and Dian Wu at the @cqs_lab of EPFL! Here: arxiv.org/html/2402.16579v1 🧬💻 A thread 🧵 1/6

🌟🚀 2023's Top Papers on Neural Quantum States! A year of many innovative approaches blending ML with quantum science. Here are my top picks: 1. Fast Quantum Natural Gradient (SR), our favorite optimizer, now scaling linearly for small batch sizes bit.ly/41FDnp1 2. Fidelity with variance-reduced estimators, and projected tVMC without bias bit.ly/41upA4J 3. Excited states with an extended-space determinant trick bit.ly/3NCOjhi 4. Neural Pfaffians in continuous space for electron pairing and more bit.ly/3GV2xqa 5. Generalized Neural Wave Functions for chemistry bit.ly/3NCOvx2 6. Free-Energy optimization for dense hydrogen bit.ly/3Ryz2zt 📈 Overall, we have seen incredible progress on hard benchmarks, and NQS are the most accurate techniques now available for many ground-state problems: e.g., the electron gas bit.ly/3NCkugN, the J1-J2 model bit.ly/3NCd0dW, and much more bit.ly/3NDMtgp. Most of the methodological developments above are available or will be available shortly in netket.org/, so make sure to check it out and discover the future of NQS with @NetKetOrg ! #NeuralQuantumStates #ML4Science #TopPicks2023

🎄The inaugural EPFL quantum theory Christmas party, with @gppcarleo and @vinniesavon, was a success. 🎄 It featured an obscene quantity of cheese 🧀 (ofc), slide karaoke 🎤⚛️ (highly recommend), and, most importantly, some outrageous dancing 👯‍♂️ (I'll spare you the photos).

Our work now published in Quantum, very excited!

New paper 🚨: Real-time dynamics of thermal states! We show how neural quantum states can accurately produce time-dependent finite-T observables in 2D. We also introduce a novel autoregressive neural density operator. With @zdenis_ @gppcarleo @cqs_lab scirate.com/arxiv/2309.07063