Efficiently decoding quantum errors with machine learning

doi:10.1038/s43588-025-00907-5

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Efficiently decoding quantum errors with machine learning

2025-11-25

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Xiu–Hao Deng *

Yuan Xu *

DOI：10.1038/s43588-025-00907-5

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Original request for help

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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

Journal

Nature Computational Science

IF:

18.3

Papers:

3.1K

Citations:

4.0K

Organization

shenzhen international quantum academy

Scholars:

137

Papers: 58

Citations: 0

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