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使用数据增强神经模型减轻噪声无意识的量子错误

Manwen Liao1, Yan Zhu1, Giulio Chiribella1,2,3

  • 1QICI Quantum Information and Computation Initiative, Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong.

NPJ quantum information
|January 22, 2025
PubMed
概括

这项研究引入了一种用于量子误差缓解的新型神经模型. 它有效地纠正量子计算中的错误,而不需要先前的噪音信息或无噪音训练数据.

关键词:
计算机科学 计算机科学量子信息是一种量子信息.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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