Albert Einstein Institute

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Reinforcement learning speeds up trapped-ion quantum computing▼Machine learning optimizes trapped-ion quantum computing – Reinforcement learning beats state-of-the-art techniques forMmastodon Science636 min ago
Researchers at the Max Planck Institute for the Science of Light and the Albert Einstein Institute have shown that reinforcement learning can outperform state-of-the-art techniques for shuttling ions in trapped-ion quantum computers. The machine learning approach optimizes how ions are moved within the processor, a key bottleneck for scaling the technology. The results were published in Physical Review Research.