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Peer-reviewedCC BY 4.0Quantum

Gottesman-Kitaev-Preskill codes: A lattice perspective

Abstract

We examine general Gottesman-Kitaev-Preskill (GKP) codes for continuous-variable quantum error correction, including concatenated GKP codes, through the lens of lattice theory, in order to better understand the structure of this class of stabilizer codes. We derive formal bounds on code parameters, show how different decoding strategies are precisely related, propose new ways to obtain GKP codes by means of glued lattices and the tensor product of lattices and point to natural resource savings that have remained hidden in recent approaches. We present general results that we illustrate through examples taken from different classes of codes, including scaled self-dual GKP codes and the concatenated surface-GKP code.

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BibTeX
@article{conrad2026gottesmankitaevpreskill,
  title = {{Gottesman-Kitaev-Preskill codes: A lattice perspective}},
  author = {Jonathan Conrad and Jens Eisert and Francesco Arzani},
  journal = {Quantum},
  year = {2026},
  month = sep,
  doi = {10.22331/q-2022-02-10-648},
  eprint = {2109.14645},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05732048v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Gottesman-Kitaev-Preskill codes: A lattice perspective
AU  - Jonathan Conrad
AU  - Jens Eisert
AU  - Francesco Arzani
PY  - 2026
DA  - 2026/09/16
JO  - Quantum
DO  - 10.22331/q-2022-02-10-648
UR  - https://hal.science/hal-05732048v1
AB  - We examine general Gottesman-Kitaev-Preskill (GKP) codes for continuous-variable quantum error correction, including concatenated GKP codes, through the lens of lattice theory, in order to better understand the structure of this class of stabilizer codes. We derive formal bounds on code parameters, show how different decoding strategies are precisely related, propose new ways to obtain GKP codes by means of glued lattices and the tensor product of lattices and point to natural resource savings that have remained hidden in recent approaches. We present general results that we illustrate through examples taken from different classes of codes, including scaled self-dual GKP codes and the concatenated surface-GKP code.
SN  - 2521-327X
ER  -