Corpus ID: 236493277

Improved quantum error correction using soft information

@article{Pattison2021ImprovedQE,
  title={Improved quantum error correction using soft information},
  author={Christopher Pattison and Michael Beverland and Marcus P. da Silva and Nicolas Delfosse},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.13589}
}
The typical model for measurement noise in quantum error correction is to randomly flip the binary measurement outcome. In experiments, measurements yield much richer information—e.g., continuous current values, discrete photon counts—which is then mapped into binary outcomes by discarding some of this information. In this work, we consider methods to incorporate all of this richer information, typically called soft information, into the decoding of quantum error correction codes, and in… Expand
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