I have a new opening for several funded PHD positions in my group (the Computational Quantum Science Lab, at EPFL). If you are a talented, motivated student, please apply here www.epfl.ch/labs/cqsl/jo.... I am especially looking to hire in scientific ML applications/NQS; not in quantum computing.

Or you can go here neos-server.org/neos/solvers... and wait about 0.02 seconds for the problem to be solved exactly 😂

I am looking for a talented postdoc to join my group at EPFL, in Lausanne, Switzerland. Goal is to develop and apply state-of-the-art neural quantum states for electronic structure and related applications. Position to be filled soon, excellent conditions! Apply here: www.epfl.ch/labs/cqsl/jo...

I recently published the LaTeX notes I took in three amazing classes this semester: - Computational quantum physics (Prof. @gppcarleo.bsky.social) - Quantum information theory (Prof. @qzoeholmes.bsky.social) - Sublinear algorithms for big data analysis (Prof. Michael Kapralov) Link below👇

New work with Douglas Hendry and Alessandro Sinibaldi: Grassmann Variational Monte Calro with neural wave functions arxiv.org/abs/2507.10287 This is a formalization and an extension (e.g. natural gradient descent-wise) of the nice excited-state framework for VMC developed by @davidpfau.com et al.

Congrats Samuele for this nice work, it was a fun collaboration with IBM Zurich!

Paper alert, this time on response functions obtained inverting the Lorentz Integral Transform, especially useful when there is an unbounded spectrum: "Nuclear responses with neural-network quantum states" arxiv.org/abs/2504.20195

Ab-initio preprint: we study high-pressure hydrogen over a relatively large range of pressures and temperatures (in the Born-Opp. approx.). Crucially, we do it with a **single** wave function for all values of proton configurations. Effort led by my PHD David Linteau, arxiv.org/abs/2504.07062 (1/2)

Simulating full quantum mechanical ground- and excited state surfaces with deep quantum Monte Carlo by Zeno Schätzle, Bernat Szabo and Alice Cuzzocrea. arxiv.org/abs/2503.19847 🧵⬇️

​Excited to share our latest quantum chemistry preprint led by Clemens Giuliani. We employ a "simple" variational wavefunction composed of a few hundred optimized non-orthogonal Slater determinants, achieving energy accuracies comparable to state-of-the-art methods. arxiv.org/abs/2503.14502 1/5​

At #APS2025, our lab presented 8 innovative studies spanning quantum-classical hybrid simulations, neural-network quantum states, quantum dynamics, and quantum chemistry. Read the highlights of our contributions here! actu.epfl.ch/news/computa... #APSsummit

If it wasn't clear enough already that I have nothing against the results of Dwave, and others, read this: www.scientificamerican.com/article/are-... The problem is not the results, it's the way they are presented, and how they are perceived more broadly. (1/2)

Summary of the situation so far.

We provide a classical simulation of DWave quantum "s-word" paper. Here it is arxiv.org/abs/2503.08247 , great work by Linda Mauron at the CQS Lab, check it out! (1/4)

Spot the problem(s): you have a numerical technique A for quantum systems that is not variational, you apply it to system X, then compare it to a variational method B previously applied to system Y and you extrapolate it to X. Then, you claim that method B has lower energies than A!

New paper out! We introduce a hybrid approach of simulating quantum dynamics where we use a classically 💻 parameterized function to correct approximate Trotterized time-evolution ⚛️ circuits. arxiv.org/abs/2502.13784 🧵1/6

The magic 🪄 of Neural Quantum states, our paper : arxiv.org/abs/2502.09725 We introduce two general strategies to compute stabilizer Renyi entropies with NQS/ variational Monte Carlo. Magic is one of the measures often used to quantify how hard it is to classically simulate a quantum system. (1/4)

Our work on Foundation Neural Quantum States finally out: arxiv.org/abs/2502.09488. These are generalized NQS that work for many hamiltonians: think of a general solver working for many ground-state problems! Pre-trained models ready for fine tuning are available here huggingface.co/nqs-models (1/5)

Looking for a talented postdoc to join my group (the Computational Quantum Science Lab) at EPFL, in Lausanne 🇨🇭 Research Topics Include: Neural Quantum States, Many-Body Systems, Ab-Initio & Quantum Chemistry...etc Start: Fall 2025, excellent conditions Apply: www.epfl.ch/labs/cqsl/jo...

For the french-speaking friends: an article in @lemonde.fr "AI versus quantum computing : a very physical fight!" also featuring excerpts from an interview I had with David Larousserie www.lemonde.fr/sciences/art...

I was thinking about compiling something similar, luckily somebody already did it ! would be nice to keep it up to date somewhere online. "Hey Claude please do a website out of this table"

(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 A Sinibaldi, @philipvinc.bsky.social and D Hendry. arxiv.org/pdf/2412.11778

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

New Paper arxiv.org/pdf/2412.05332 1/2 Neural quantum states reveal phase transitions in 2D helium-4. At small scales (30 atoms), found continuous transition with signatures of hexatic order - a phase with orientational but no translational symmetry. Larger systems show sharp liquid-solid transition

why so? it's 10^25 years to simulate it classically! 😂

For more tips on how to talk about quantum computing, check out our blog post. dulwichquantum.github.io/blog/how-to-...

Great EPFL endeavor coordinated by @abosselut.bsky.social, we did our small part in this providing data for quantum physics exams

A video by @hossenfelder.bsky.social about how advances in ML for quantum systems are "competing" with quantum computing, featuring Demis Hassabis and our variational benchmarks work recently appeared in @science.org : m.youtube.com/watch?v=MO6Z...

Hi there Bluesky! for those of you who don't know me, an image is worth 300 characters: (main keywords in my publications, courtesy of Scholar Goggler)

Just created a starter package to find cool ML for quantum people here. Please help me find others and self-nominate! (i am new since yesterday, if this is supposed to be differently handled, let me know, thx hah) go.bsky.app/357wFNf