We’re looking for a post doc to join us exploring the intersection of quantum chemistry and quantum computing - 2 year position - Based in the QIC group at EPFL (Lausanne) - Collaboration with Roche (Basel) Email me if interested

Welcome to ETH Physics !

Now published in IOP Publishing open access 💫 iopscience.iop.org/article/10.108…

Vector Co-Founder & Chief Scientific Advisor Geoffrey Hinton has won the 2024 Nobel Prize for Physics. Hinton shares this honour with John J. Hopfield “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

Es un noticia fantástica. Aquí incluyo un texto que he escrito inspirado por este premio Nobel: Física y Aprendizaje Automático: Un Viaje Compartido de Descubrimientos El aprendizaje automático (ML) no solo ha transformado el análisis de datos, sino que también ha redefinido la

Leaning into the Nobel Prize excitement, I'm very excited to share my new piece in Nature Reviews Physics Nature Reviews Physics exploring how physics data and approaches can help us develop more trustworthy AI (read for free here!) rdcu.be/dWfr3 1/

Our endeavor on variational benchmarks for quantum many-body problems is now published in Science Magazine! In this large collaborative work (~30 institutions) led by Computational Quantum Science Lab EPFL, we established a practical, agreed-upon metric to quantify the hardness of quantum problems

When can classical neural networks represent quantum states? New joint work (arxiv.org/abs/2410.23152) with Tai-Hsuan Yang, Thiago Bergamaschi, and John Preskill.🧵

Welcome to ETH Physics

hoping to see many of you at this upcoming machine learning 4 quantum matter workshop MPI-PKS Dresden in Dresden (Feb 24-28, '25): pks.mpg.de/mlqmat25 application *deadline* is _Nov 30_ !

Year over year ROI from government investment in research is 30-100 percent. Far more than the stock market and most of the private sector. americanprogress.org/article/the-hi… economicstrategygroup.org/publication/se…

Had fun presenting posters with Andrew Jreissaty at the “Neural Quantum States for Time Evolution” symposium in Regensburg today Forschungszentrum Jülich | @[email protected]

🎉Good news, everyone! 🎉 I will recruit graduate students on the algorithmic and theoretical aspects of Reinforcement Learning. You will join Adage, Mila - Institut québécois d'IA, and Polytechnique Mtl. More info on why and how you should apply: academic.sologen.net/2024/11/22/gra… Deadline: Dec 1st

We are organizing a workshop on ML for quantum matter in Dresden in February 2025. Amazing speaker lineup. The application deadline is Nov. 30, apply! pks.mpg.de/mlqmat25

Thrilled to announce Open Quantum Design and its four founding partners - building the world's first open source quantum computer openquantumdesign.org/founders-%26-p…

Statistical mechanics and machine learning of the 𝛼-Rényi ensemble, Andrew Jreissaty and Juan Carrasquilla Juan Felipe Carrasquilla Álvarez Vector Institute ETH Physics #StatisticalPhysics #MachineLearning go.aps.org/4hiYIfb

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We brought 100 cracked builders to Zurich🇨🇭 This included YC founders (nunu.ai, ...), researchers (Tufalabs, NVIDIA, ...), robotics (mimic, ...) & more Here are the 8 demos presented🧵

Interesting conversation Penn State Eberly College of Science

The supervision signal in AI4Science is so crisp that we can solve very complicated problems almost without any data or RL! In this project, we train a model to solve the Schrödinger equation for different molecular conformations using Density Functional Theory (DFT) In the