Global optimization of quantum dynamics with AlphaZero deep exploration
Por um escritor misterioso
Last updated 12 abril 2025


Quantum games and interactive tools for quantum technologies outreach and education

Can AlphaZero Leap From Go & Chess to Quantum Computing?, by Synced, SyncedReview

Discovering faster matrix multiplication algorithms with reinforcement learning. - Abstract - Europe PMC

Quantum Many-Body Dynamics Group

References For: Phys. Rev. X 12, 011059 (2022) - Model-Free Quantum Control with Reinforcement Learning

Machine Learning Methods for Small Data Challenges in Molecular Science

Quantum games and interactive tools for quantum technologies outreach and education

Global optimization of quantum dynamics with AlphaZero deep exploration

Global optimization of quantum dynamics with AlphaZero deep exploration

Discovering faster matrix multiplication algorithms with reinforcement learning. - Abstract - Europe PMC

DeepMind's powerful AlphaZero AI makes the leap to quantum computing – By Futurist and Virtual Keynote Speaker Matthew Griffin

How an algorithm became superhuman at Go - but not StarCraft - and then moved on to modeling proteins - Heidelberg Laureate Forum - SciLogs - Wissenschaftsblogs

Entropy, Free Full-Text
Quantum Chemistry in the Age of Machine Learning

DeepMind's AlphaZero algorithm taught itself to play Go, chess, and shogi with superhuman performance and then beat state-of-the-art programs specializing in each game. The ability of AlphaZero to adapt to various game
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