Efficient learning of quantum noise

@article{Harper2020EfficientLO,
  title={Efficient learning of quantum noise},
  author={Robin Thomas Ross Harper and Steven T. Flammia and Joel Wallman},
  journal={Nature Physics},
  year={2020},
  pages={1-5}
}
Noise is the central obstacle to building large-scale quantum computers. Quantum systems with sufficiently uncorrelated and weak noise could be used to solve computational problems that are intractable with current digital computers. There has been substantial progress towards engineering such systems 1 – 8 . However, continued progress depends on the ability to characterize quantum noise reliably and efficiently with high precision 9 . Here, we describe such a protocol and report its… Expand

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