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
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
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
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 !
π 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
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/I1mPMPyXiAβ¦).
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) https://t.co/5JksfPVCfE. πͺπ§
(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
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
Amazing news! Riccardo Rossi of @cqs_lab@EPFL_en has been recognized with the Hermann KΓΌmmel 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
π¨ 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
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
π’ 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 π§¬π»
A thread π§΅ 1/6
ππ 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
π 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
πThe inaugural EPFL quantum theory Christmas party, with @gppcarleo and @vinniesavon, was a success. π
It featured an obscene quantity of cheese π§ (ofc), slide karaoke π€βοΈ (highly recommend), and, most importantly, some outrageous dancing π―ββοΈ (I'll spare you the photos).
Recently published in Quantum: Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution by Alessandro Sinibaldi, Clemens Giuliani, Giuseppe Carleo, and Filippo Vicentini https://t.co/aZaJO8KIUQ