Tessera
Folgen

Matej Balog

@matejbalog.bsky.social

Research Scientist at Google DeepMind, working on algorithm discovery using AI: AlphaTensor, FunSearch, and beyond

6 Posts1713 Follower85 Folgt
Matej Balog@matejbalog.bsky.social · 3mo ago

AlphaEvolve is scaling up 🧬⚡️🖥️ What started as an agent for discovering new algorithms is now optimizing quantum circuits, helping make electric grids more sustainable, and further improving AI's own infrastructure. See the real-world impact here: deepmind.google/blog/alphaev...

AlphaEvolve: Gemini-powered coding agent scaling impact across fields

Discover how AlphaEvolve optimizes algorithms for genomics, quantum physics, global infrastructure, and more to accelerate scientific progress and solve real-world challenges.

deepmind.google

Terence Tao@teorth.bsky.social · 9mo ago

A new paper with Bogdan Georgiev, Javier Gomez-Serrano, and Adam Zsolt Wagner: "Mathematical exploration and discovery at scale" arxiv.org/abs/2511.02864. Further discussion is at terrytao.wordpress.com/2025/11/05/m...

Mathematical exploration and discovery at scale

AlphaEvolve is a generic evolutionary coding agent that combines the generative capabilities of LLMs with automated evaluation in an iterative evolutionary framework that proposes, tests, and refines ...

arxiv.org

Matej Balog@matejbalog.bsky.social · last yr.

Announcing AlphaEvolve, our new LLM coding agent that has - made new scientific discoveries - discovered algorithms that are now deployed at Google (in Gemini, Transformers, TPU hardware design & data centers) Blog: deepmind.google/discover/blo... White paper: storage.googleapis.com/deepmind-med...

AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms

New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators

deepmind.google

joao@joao.omg.lol · 2y ago

Also not the first time (nor the last) that DeepMind has improved a component of quantum computers! arxiv.org/abs/2402.14396

Quantum Circuit Optimization with AlphaTensor

A key challenge in realizing fault-tolerant quantum computers is circuit optimization. Focusing on the most expensive gates in fault-tolerant quantum computation (namely, the T gates), we address the ...

arxiv.org

Johannes Bausch@jbausch.bsky.social · 2y ago

I'm super excited to share that our work on AlphaQubit, a high accuracy neural network quantum error correction decoder, is now published in Nature! www.nature.com/articles/d41...