trapped-ion quantum computing

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Reinforcement learning improves trapped-ion quantum computing▼Machine learning optimizes trapped-ion quantum computing – Reinforcement learning beats state-of-the-art techniques forMmastodon Science61 h ago
Researchers at the Max Planck Institute for Gravitational Physics report that reinforcement learning outperforms state-of-the-art techniques for shuttling ions in trapped-ion quantum computers. Machine learning was used to optimize the transport of ions, a key operation for scaling up this leading quantum computing platform. The results were published in Physical Review Research, with physicists highlighting the promise of AI methods for controlling quantum hardware.