Snapshot of the careers fair at the Science and Technology Facilities Council Nuclear Physics Summer School #npss24

Yesterday we welcomed Nuclear Physics PhDs from a variety of industries to the Science and Technology Facilities Council Nuclear Physics Summer School to talk to the students about non-academic career pathways. #npss24

I’m beyond thrilled to share that our work on using deep learning to compute excited states of molecules is out today in Science Magazine! This is the first time that deep learning has accurately solved some of the hardest problems in quantum physics. science.org/doi/abs/10.112…

We had previously shown that deep learning could be used for gold-standard calculations of the *lowest* energy states of real molecules. This is already quite challenging, but ignores all of the exotic physics that happens when molecules are stimulated. nature.com/articles/s4157…

The physics of how electrons get kicked into or fall out of higher energy states, absorbing or releasing light in the process, is important for lasers, semiconductors, LEDs, solar panels, fluorescent dyes, and the biophysics of vision and photosynthesis.

We couldn’t extend our work with neural networks to excited states because existing methods had several limitations. So we developed a new method that is general, robust, and as accurate as state-of-the-art classical methods as you scale it.

On the carbon dimer - a molecule whose excited states are responsible for the green tint of carbon-rich comets - we match experimental results *five times* more accurately than previous gold-standard calculations.

While excited state energies are harder to calculate than ground states, double excitations - where two electrons are excited at once - are even harder. We show results on these systems that match state-of-the-art calculations at the frontier of what is possible today.

We are excited (yeah, sorry) to open-source the code for our method and experiments on GitHub! We’re looking forward to seeing what the community does with it, and to take another step towards universal quantum simulation with deep learning. github.com/google-deepmin…

The Science and Technology Facilities Council Nuclear Physics Summer School came to an end yesterday. It’s been fantastic getting to know these students and seeing them engage so brilliantly with the lecturers each other at the school. I look forward to seeing them progress in their careers. #npss24

I'm basically 0% worried about being left behind if I don't use LLMs for programming. There are people out there who still use vim who are 10x better programmers than the rest of us.

Eek 😁 really excited and grateful for the opportunity to become a member and enjoying the first meeting 🤩 - very inspiring !

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

Some personal news:

A direct competitor to Dulwich Quantum Computing has appeared. The space of quantum parody companies is heating up! quantumsecrets.dev

I don’t think people are really understanding this cover.

Volvemos a reanudar los experimentos de calibración de los sensores baratos de radiactividad ambiental para el proyecto de #cienciaciudadana Openred Fundación Ibercivis GammaPix Institut de Tècniques Energètiques

🚀 Calling all postdoctoral researchers! 🚀 Join our institute applying to the Junior Leader Programme and take your research to the next level 🌟 Apply now to collaborate with top experts, access cutting-edge resources, and make a global impact🌍 🔗 bit.ly/ICCUBJL

It's a fairy tale

This year has seen the dawn of the nuclear clock April PRL: journals.aps.org/prl/abstract/1… July PRL: journals.aps.org/prl/abstract/1… September Nature: nature.com/articles/s4158… Quanta Magazine quantamagazine.org/the-first-nucl…