It's nice to see that tensor networks are growing beyond the initial setting of planar TNs with deterministic evaluations of observables, and they are instead converging more and more towards the standard stochastic Variational Monte Carlo framework. As a result, the distinction…

Adaptive projected variational quantum dynamics, David Linteau, Stefano Barison, Netanel H. Lindner, and Giuseppe Carleo Stefano Barison Giuseppe Carleo Computational Quantum Science Lab NCCR-MARVEL EPFL Center for Quantum Science & Engineering #QuantumInformation go.aps.org/4bsxaQU

New preprint out with Zakari Denis Computational Quantum Science Lab! using specifically designed neural quantum states we obtain the most accurate variational description so far of interacting lattice bosons in 2D, without truncating the local Hilbert space and scalable to hundreds or more of sites, on…

Congratulations Anna Fontcuberta i Morral for being appointed president EPFL !

Accepted and published in Quantum: Overhead-constrained circuit knitting for variational quantum dynamics by Gian Gentinetta, Friederike Metz, and Giuseppe Carleo doi.org/10.22331/q-202…

The time-dependent Schrodinger equation is the building block of non-relativistic quantum theory.

Yet, solving it for electronic systems in continuous space, in regimes where correlations cannot be neglected, is a very hard theoretical and computational challenge, at least as…

Almost exactly 8 years ago, I was presenting at the 2016 APS March Meeting in Baltimore (chair Davide Venturelli of NASA) a variational method to classically simulate adiabatic quantum optimization.

The complete draft of that work with Bela Bauer and Matthias Troyer of Microsoft Research has…

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…

📢 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

Same feeling here! We almost always submit to physics/chemistry journals rather than ML conferences where domain quality of reviews is not always ideal. Also, I think there is not so much value added in aggregating all possible applications of ML to science in a single venue. In…

It might be easy to develop a variational (quantum) algorithm. The art is developing an algorithm that works and improves on previous results.

I find these QIP-minded discussions very hard to digest and completely disconnected from real-world problems in computational science.…

Nope. There are multiple parameterized circuit models that are not classically simulable and that are competitive as variational states. I have notoriously no bias in favor of quantum computing, but one shouldn't be pessimistic a priori either.

No! And even classically one never initializes parameters in a completely random regime/state. Barren plateaus are definitely not the reason why (maybe) VQE is not the final deal for quantum chemistry, measurement overhead is much more of a problem

We have now completed our analysis of new materials reported in the Google Deepmind / Berkeley autonomous lab paper. My own initial analysis is in the quote tweet.

Happy to have worked with Schoop Lab to jointly put together a comprehensive analysis, now available on ChemRxiv.…

A recent passion project of mine has been to communicate a research result through an animated video, in an intuitive and pedagogical format. I’m happy to finally share this video, in which I discuss our recent work on neural-network quantum field states:

youtu.be/rrvZDZMii-0

🌟🚀 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.…

Accepted and published in Quantum: A (simple) classical algorithm for estimating Betti numbers by Simon Apers, Sander Gribling, Sayantan Sen, and Dániel Szabó doi.org/10.22331/q-202…

One more week until the Dec. 15 application for EPFL Master's in Quantum Science and Engineering, starting autumn 2024!

Learn more and apply: epfl.ch/education/mast…

Significant breakthroughs have been made in mathematics and physics by physicists disregarding rigorous mathematicians telling them ‘you can’t do that’

Yes 100% agree with Miles here, breakthrough in algorithmic developments are often times the key to new scientific discovery, much more than raw compute