English

Memory-assisted decoder for approximate Gottesman-Kitaev-Preskill codes

Quantum Physics 2020-11-26 v3

Abstract

We propose a quantum error correction protocol for continuous-variable finite-energy, approximate Gottesman-Kitaev-Preskill (GKP) states undergoing small Gaussian random displacement errors, based on the scheme of Glancy and Knill [Phys. Rev. A {\bf 73}, 012325 (2006)]. We show that combining multiple rounds of error-syndrome extraction with Bayesian estimation offers enhanced protection of GKP-encoded qubits over comparible single-round approaches. Furthermore, we show that the expected total displacement error incurred in multiple rounds of error followed by syndrome extraction is bounded by 2π2\sqrt{\pi}. By recompiling the syndrome-extraction circuits, we show that all squeezing operations can be subsumed into auxiliary state preparation, reducing them to beamsplitter transformations and quadrature measurements.

Keywords

Cite

@article{arxiv.1912.00829,
  title  = {Memory-assisted decoder for approximate Gottesman-Kitaev-Preskill codes},
  author = {Kwok Ho Wan and Alex Neville and W. S. Kolthammer},
  journal= {arXiv preprint arXiv:1912.00829},
  year   = {2020}
}

Comments

We want to thank Jacob Hastrup for notifying us of an repeated numerical error. We also want to thank Luca Cocconi for his useful comments on our numerical simulations

R2 v1 2026-06-23T12:33:10.774Z