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.

Job Opportunities at CQSL

At the Computational Quantum Science Lab we typically have several openings yearly (at the PhD/ Postdoc level). Applications are reviewed twice a year, at the beginning of April and at the beginning o...

epfl.ch

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

Dulwich Quantum Computing@dulwichquantum.bsky.social · 11mo ago

Stephen Colbert explains why the simplest way of finding the shortest path between 22 cities involves 1. flying to the Moon 2. mining some Helium-3 3. bringing it back to the Earth and pouring it in your quantum computer.

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...

Job Opportunities at CQSL

At the Computational Quantum Science Lab we typically have several openings yearly (at the PhD/ Postdoc level). Applications are reviewed twice a year, at the beginning of April and at the beginning o...

epfl.ch

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.

Grassmann Variational Monte Carlo with neural wave functions

Excited states play a central role in determining the physical properties of quantum matter, yet their accurate computation in many-body systems remains a formidable challenge for numerical methods. W...

arxiv.org

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

Samuele Piccinelli@spiccinelli.bsky.social · last yr.

📣 Fresh out of the arXiv 🚀 — We introduce an ancilla‑free framework to reconstruct retarded Green’s functions (RGFs) on quantum computers. 🔗 Paper: arxiv.org/abs/2505.05563

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

Nuclear responses with neural-network quantum states

We introduce a variational Monte Carlo framework that combines neural-network quantum states with the Lorentz integral transform technique to compute the dynamical properties of self-bound quantum man...

arxiv.org

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)

Universal neural wave functions for high-pressure hydrogen

We leverage the power of neural quantum states to describe the ground state wave function of solid and liquid dense hydrogen, including both electronic and protonic degrees of freedom. For static prot...

arxiv.org

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

Computational Quantum Science Lab at the APS Global Physics Summit

At this year's APS Global Physics Summit in Anaheim, the Computational Quantum Science Lab showcased several contributions, spanning quantum dynamics, neural-network methodologies, topological quantum...

actu.epfl.ch

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)

How Scientists, Publishers and Investors Create Quantum Hype

D-Wave’s fresh claim that it has achieved “quantum advantage” has sparked criticism of the company—and of the scientific process itself

scientificamerican.com

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)

Challenging the Quantum Advantage Frontier with Large-Scale Classical Simulations of Annealing Dynamics

Recent demonstrations of D-Wave's annealing-based quantum simulators have established new benchmarks for quantum computational advantage [arXiv:2403.00910]. However, the precise location of the classi...

arxiv.org

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

Correcting and extending Trotterized quantum many-body dynamics

A complex but important challenge in understanding quantum mechanical phenomena is the simulation of quantum many-body dynamics. Although quantum computers offer significant potential to accelerate th...

arxiv.org

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)

Non-stabilizerness of Neural Quantum States

We introduce a methodology to estimate non-stabilizerness or "magic", a key resource for quantum complexity, with Neural Quantum States (NQS). Our framework relies on two schemes based on Monte Carlo ...

arxiv.org

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)

Foundation Neural-Network Quantum States

Foundation models are highly versatile neural-network architectures capable of processing different data types, such as text and images, and generalizing across various tasks like classification and g...

arxiv.org

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...

Job Opportunities at CQSL

At the Computational Quantum Science Lab we typically have several openings yearly (at the PhD/ Postdoc level). Applications are reviewed twice a year, at the beginning of April and at the beginning o...

epfl.ch

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...

IA versus ordinateur quantique : un combat très physique

Dans la course à la résolution des problèmes fondamentaux de physique et de chimie, l’intelligence artificielle et l’informatique quantique sont les deux champions en lice. Pour mieux en comprendre le...

lemonde.fr

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"

Dulwich Quantum Computing@dulwichquantum.bsky.social · 2y ago

Great timeline of quantum supremacy claims and refutations by Tom Wong on X. x.com/thomasgwong/...

(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! 😂

Quantum Bullshit Detector@bullshitquantum.bsky.social · 2y ago

RCS: bullshit www.engadget.com/computing/go...

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

How to talk about quantum computing

Here is some advice from our CEO on how to talk about quantum computing, and why now is the right time for you to join the conversation.

dulwichquantum.github.io

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

Antoine Bosselut@abosselut.bsky.social · 2y ago

1/ 📘 Could ChatGPT get an engineering degree? Spoiler, yes! In our new @pnas.org article, we explore how AI assistants like GPT-4 perform in STEM university courses — and on average they pass a staggering 91.7% of core courses. 🧵 #AI #HigherEd #STEM #LLMs #NLProc

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...

AI Could Make Quantum Computing Obsolete, Nobel Prize Winner Says

YouTube video by Sabine Hossenfelder

m.youtube.com

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