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Efficiently decoding quantum errors with machine learning
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DOI：10.1038/s43588-025-00907-5.png)
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Abstract
En 中文
Quantum computers are inching closer to practical deployment, but shielding fragile quantum information from errors is still very challenging. Now, a machine-learning-based decoder offers a strategy for rectifying errors in logic quantum circuits, hastening the advent of reliable and fault-tolerant quantum systems.
Keywords:
quantum computing
machine learning
error correction
fault tolerance
quantum circuits
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