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