article · Physical review. A/Physical review, A · 2018
Open-system quantum error correction
Cited by 6Open access
Abstract
We study the performance of quantum error correction (QEC) on a system undergoing open-system (OS) dynamics. The noise on the system originates from a joint quantum channel on the system-bath composite, a framework that includes and interpolates between the commonly used system-only quantum noise channel model and the system-bath Hamiltonian noise model. We derive the perfect OSQEC conditions, with QEC recovery only on the system and not the inaccessible bath. When the noise is only approximately correctable, the generic case of interest, we quantify the performance of OSQEC using worst-case fidelity. We find that the leading deviation from unit fidelity after recovery is quadratic in the uncorrectable part, a result reminiscent of past work on approximate QEC for system-only noise, although the approach here requires the use of different techniques than in past work.
Cite this paper
Len, Y. L., & Ng, H. K. (2018). Open-system quantum error correction. Physical review. A/Physical review, A, 98(2). https://doi.org/10.1103/physreva.98.022307
Len, Yink Loong, and Hui Khoon Ng. “Open-system quantum error correction.” Physical review. A/Physical review, A, vol. 98, no. 2, 2018, https://doi.org/10.1103/physreva.98.022307.
Len, Yink Loong, and Hui Khoon Ng. 2018. “Open-system quantum error correction.” Physical review. A/Physical review, A 98 (2). https://doi.org/10.1103/physreva.98.022307.
Len, Y.L. and Ng, H.K. (2018) ‘Open-system quantum error correction’, Physical review. A/Physical review, A, 98(2). Available at: https://doi.org/10.1103/physreva.98.022307.
@article{len2018open,
title = {{Open-system quantum error correction}},
author = {Len, Yink Loong and Ng, Hui Khoon},
journal = {Physical review. A/Physical review, A},
volume = {98},
number = {2},
year = {2018},
doi = {10.1103/physreva.98.022307}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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