Scalable quantum measurement error mitigation via conditional independence and transfer learning

Scalable quantum measurement error mitigation via conditional independence and transfer learning

Mitigating measurement errors in quantum systems without relying on quantum error correction is of critical importance for the practical development of quantum technology. Deep learning-based quantum measurement error mitigation (QMEM) has exhibited advantages over the linear inversion method due to...

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Bibliographic Details
Main Authors: Changwon Lee, Daniel K Park
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
quantum computing
quantum measurement error mitigation
deep learning
conditional independence
transfer learning
Online Access:https://doi.org/10.1088/2632-2153/ad1007

Internet

https://doi.org/10.1088/2632-2153/ad1007

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