Alessandro Sinibaldi

PhD in ML for quantum (@cqs_lab, @EPFL) | jazz saxophone player

[Alessandro Sinibaldi @sinibandro]

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 https://t.co/FSo1vrwS06

[Giuseppe Carleo @gppcarleo]

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 https://t.co/rtcB7j67h5 (1/3)

[Alessandro Sinibaldi @sinibandro]

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: https://t.co/ftImJKFUPc

[Alessandro Sinibaldi @sinibandro]

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: https://t.co/PwpKqCV9ge

[Alessandro Sinibaldi @sinibandro]

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.
https://t.co/sTdkyGt5Fk

[Giuseppe Carleo @gppcarleo]

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 !

[Alessandro Sinibaldi @sinibandro]

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

[Google.org @Googleorg]

🎉 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: https://t.co/0Pvuv6hsgP

[Alessandro Sinibaldi @sinibandro]

Thrilled to share our latest paper https://t.co/5iLsAHm0p7 where we formalize VMC for multiple wave function optimization building on the excited state framework of @pfau et al. (https://t.co/I1mPMPyXiA…).
With D. Hendry and @gppcarleo.

[Alessandro Sinibaldi @sinibandro]

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) https://t.co/5JksfPVCfE. 🪄🧠

[Alessandro Sinibaldi @sinibandro]

@elonmuskTN R

[Alessandro Sinibaldi @sinibandro]

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

https://t.co/IrlMIhLkfK

[Giuseppe Carleo @gppcarleo]

(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: https://t.co/SVVjYPfXQU

[Giuseppe Carleo @gppcarleo]

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?

[Jannes Nys @JannesNys]

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

[Alessandro Sinibaldi @sinibandro]

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.

[Giuseppe Carleo @gppcarleo]

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! https://t.co/OgyeY4pb0o

[Giuseppe Carleo @gppcarleo]

If you want to stay current on a challenging problem in quantum physics, bookmark this: https://t.co/74EG6NtQX2

[Alessandro Sinibaldi @sinibandro]

Check this out!⚛️

[Jannes Nys @JannesNys]

🚨 New quantum dynamics method: https://t.co/DOHoGPas3s 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

[Giuseppe Carleo @gppcarleo]

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.

https://t.co/Y3UxpKRFwl

[Indaco Biazzo @ocadni]

📢 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: https://t.co/fiL6mVVEY5 🧬💻
A thread 🧵 1/6

[Giuseppe Carleo @gppcarleo]

🌟🚀 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 https://t.co/iFnS6jr4Do

2. Fidelity with variance-reduced estimators, and projected tVMC without bias https://t.co/jXfnb4d2QC

3. Excited states with an extended-space determinant trick https://t.co/AxzHT3DTbu

4. Neural Pfaffians in continuous space for electron pairing and more https://t.co/8o6wZhGb6B

5. Generalized Neural Wave Functions for chemistry https://t.co/3F3mwdWgvs

6. Free-Energy optimization for dense hydrogen https://t.co/EkMuyfDalU

📈 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 https://t.co/qct1jFZ7GI, the J1-J2 model https://t.co/IXirpCFH8D, and much more https://t.co/gjKK7gFZq4.

Most of the methodological developments above are available or will be available shortly in https://t.co/LbFcVVcA3j, so make sure to check it out and discover the future of NQS with @NetKetOrg !

#NeuralQuantumStates #ML4Science #TopPicks2023

[Zoe Holmes @qZoeHolmes]

🎄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).