Machine learning approaches like NQS can now do more than solve quantum systems: they can help design new ones! Our results point to a scalable route toward discovering correlated quantum matter with targeted properties.
Check out at arxiv.org/abs/2609.40209
Designing a material means finding the microscopic Hamiltonian whose ground state has the property you want. Routine for weakly interacting systems. For strongly correlated matter, largely out of reach. Our new preprint makes it a variational problem arxiv.org/abs/2609.40209 (1/3)
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…
Alessandro Sinibaldi retweeted
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!💻
🎉 We're excited to announce the 2025 Google PhD Fellows! @GoogleOrg is providing over $10 million to support 255 PhD students across 35 countries, fostering the next generation of research talent to strengthen the global scientific landscape. Read more: goo.gle/43wJWw8
ALT A person with long hair is seen from behind working in a laboratory
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
(1/n) Excited to finally share our new paper to study quantum dynamics with neural quantum states: "Time-dependent Neural Galerkin Method for Quantum Dynamics" with @sinibandro,
@philipvinc
and D Hendry, @cqs_lab @EPFL_en @Polytechnique. Paper here: arxiv.org/pdf/2412.11778
Alessandro Sinibaldi retweeted
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?
Alessandro Sinibaldi retweeted
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
🚨 New quantum dynamics method: arxiv.org/abs/2403.07447 We found that factorizing the propagator into its Taylor roots provides the ideal framework for time-evolving neural quantum states in continuous space at higher orders. Introducing tre-tVMC! @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.
Alessandro Sinibaldi retweeted
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…
Alessandro Sinibaldi retweeted
If you want to stay current on a challenging problem in quantum physics, bookmark this: hasthehubbardmodelbeensolved…
Check this out!⚛️
🚨 New quantum dynamics method: arxiv.org/abs/2403.07447 We found that factorizing the propagator into its Taylor roots provides the ideal framework for time-evolving neural quantum states in continuous space at higher orders. Introducing tre-tVMC! @cqs_lab
Alessandro Sinibaldi retweeted
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…
Alessandro Sinibaldi retweeted
📢 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
Alessandro Sinibaldi retweeted
🌟🚀 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
Alessandro Sinibaldi retweeted
🎄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!
Recently published in Quantum: Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution by Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, and Filippo Vicentini doi.org/10.22331/q-2023-10-1…
