Our work on new powerful neural backflow transformations and the application to the homogeneous electron gas is now published in PRB as an Editors' suggestion Computational Quantum Science Lab journals.aps.org/prb/abstract/1…

Deep learning has been successfully used to solve some of the hardest problems in many-body quantum physics, since 2016. Here is a non-exhaustive list: 1. 2D Hubbard model (Fermions pnas.org/doi/full/10.10…, bosons arxiv.org/abs/2404.07869) 2. Out-of-equilibrium Stat Mech

I moved to Zürich last week, where I started a new position at ETH Zürich ETH Physics as a senior research assistant in the group of Juan Felipe Carrasquilla Álvarez , I couldn't be more excited. Big thanks to Giuseppe Carleo and colleagues at Computational Quantum Science Lab for the amazing past 3 years at EPFL

I am thrilled to announce the "Challenges in Simulating Quantum Matter" workshop at ETH Zürich, 16-18 June 2025 🎉 Now accepting applications for talks and posters: csqm.org ETH Physics Condensed Matters Quantum Center, ETH Zurich, Switzerland #NeuralQuantumStates #QuantumComputing #TensorNetworks

Join us in Zürich in June at our "Challenges in Simulating Quantum Matter" workshop!

A reminder that the registration for the CSQM workshop in Zurich is still open! Apply at cqsm.org. #QuantumPhysics

Excited to share our latest quantum chemistry preprint Computational Quantum Science Lab, the result of the hard work of Clemens Giuliani, arxiv.org/abs/2503.14502. We use a "simple" variational wavefunction composed of a few hundred optimized non-orthogonal Slater determinants and show that it achieves

In some sense, there’s nothing in this paper that we couldn’t have done in 2018 (and I wish we had! I’d be famous!) But the inspiration for this paper actually came from the fantastic recent work on Wasserstein QMC by Kirill Neklyudov and others. Good research should be timeless.

Great work by Sam Bird: by resolving the competing orders in the frustrated square-lattice SU(3) Hubbard model, we show how modifying the nodal surface can lead to a qualitatively different phase diagram.

Fresh in Nature Physics from Computational Quantum Science Lab @epfl! Led by Linda Mauron, Zakari Denis & Jannes Nys: we predict topological ent. entropy in Rydberg simulators via tVMC. Surprisingly, we find RVB-like properties without the expected topological entropy signatures. rdcu.be/ex8hk