Global optimization of quantum dynamics with AlphaZero deep exploration

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

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Quantum Many-Body Dynamics Group

Global optimization of quantum dynamics with AlphaZero deep exploration

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Global optimization of quantum dynamics with AlphaZero deep exploration

Global optimization of quantum dynamics with AlphaZero deep exploration

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

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

Quantum optimal control theory for a molecule interacting with a plasmonic nanoparticle

Policy gradients using variational quantum circuits

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