Feynman’s dream of quantum-simulating quantum dynamics slowly coming true. Computational quantum physicists out there: can you beat this?

The new work by IBM Research Quantum is an important milestone in the field. nature.com/articles/s4158… I especially like the shift from generating "supremely" useless random numbers to the task of simulating something of "utility" for physics. But..... (1/6)

[#PhDposition in #machine_learning #quantum_physics École polytechnique]: I'm looking for one outstanding student to work on numerical algorithms to simulate quantum dynamics using Neural Quantum States (and NetKet ). Starting date: oct-dec 23 Details: quantiki.org/position/phd-m…

A recent review article in Nature Reviews Chemistry presents a comprehensive analysis of the integration of neural-network wave functions within quantum chemistry. More info/link to the paper in here actu.epfl.ch/news/quantum-c…

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 Zakari Denis Giuseppe Carleo Computational Quantum Science Lab scirate.com/arxiv/2309.070…

Our work now published in Quantum, very excited!

🎄The inaugural EPFL quantum theory Christmas party, with Giuseppe Carleo and Vincenzo Savona, 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).

🌟🚀 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.

📢 New research Alert: I'm happy to share our latest work, "Sparse Autoregressive Neural Networks for Classical Spin Systems", with Giuseppe Carleo and Dian Wu at the Computational Quantum Science Lab of EPFL! Here: arxiv.org/html/2402.1657… 🧬💻 A thread 🧵 1/6

Today, I got tenure. It has been a tough, long journey, started 17 years ago with the beginning of my PHD SISSA. 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 Computational Quantum Science Lab EPFL for

Check this out!⚛️

If you want to stay current on a challenging problem in quantum physics, bookmark this: hasthehubbardmodelbeensolvedyet.com

Amazing news! Riccardo Rossi of Computational Quantum Science Lab EPFL 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

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.

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

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

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

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

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 David Pfau et al. (science.org/doi/10.1126/sc…). With D. Hendry and Giuseppe Carleo.

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