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Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers

Publication ,  Journal Article
Hu, J; Liang, Q; Rengaswamy, N; Calderbank, R
Published in: IEEE Transactions on Information Theory
March 1, 2022

Physical platforms such as trapped ions suffer from coherent noise that does not follow a simple stochastic model. Stochastic errors in quantum systems occur randomly but coherent errors are more damaging since they can accumulate in a particular direction. We consider coherent noise acting transversally, giving rise to an effective error which is a Z-rotation on each qubit by some angle θ. Rather than address coherent noise through active error correction, we investigate passive mitigation through decoherence free subspaces. In the language of stabilizer codes, we require the noise to preserve the code space, and to act trivially (as the logical identity operator) on the protected information. Thus, we develop necessary and sufficient conditions for all transversal Z-rotations to preserve the code space of a stabilizer code. These conditions require the weight-2∼Z-stabilizers to cover all the qubits that are in the support of the X-component of some stabilizer. Furthermore, the weight-2∼Z-stabilizers generate a direct product of single-parity-check codes with even block length. By adjusting the sizes of these components, we are able to construct a large family of QECC codes oblivious to coherent noise, one that includes the [[4L2, 1, 2L]] Shor codes. The Shor codes are examples of constant excitation codes, where logical qubits are encoded as a code state that is a sum of physical states indexed by binary vectors with the same weight. Constant excitation codes are oblivious to coherent noise since a transversal Z-rotation acts as a global phase. We prove that a CSS code is oblivious to coherent noise if and only if it is a constant excitation code, and that if the code is error-detecting, then the (constant) weights in different cosets of the X-stabilizers are identical.

Duke Scholars

Published In

IEEE Transactions on Information Theory

DOI

EISSN

1557-9654

ISSN

0018-9448

Publication Date

March 1, 2022

Volume

68

Issue

3

Start / End Page

1795 / 1808

Related Subject Headings

  • Networking & Telecommunications
  • 4613 Theory of computation
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hu, J., Liang, Q., Rengaswamy, N., & Calderbank, R. (2022). Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers. IEEE Transactions on Information Theory, 68(3), 1795–1808. https://doi.org/10.1109/TIT.2021.3130155
Hu, J., Q. Liang, N. Rengaswamy, and R. Calderbank. “Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers.” IEEE Transactions on Information Theory 68, no. 3 (March 1, 2022): 1795–1808. https://doi.org/10.1109/TIT.2021.3130155.
Hu J, Liang Q, Rengaswamy N, Calderbank R. Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers. IEEE Transactions on Information Theory. 2022 Mar 1;68(3):1795–808.
Hu, J., et al. “Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers.” IEEE Transactions on Information Theory, vol. 68, no. 3, Mar. 2022, pp. 1795–808. Scopus, doi:10.1109/TIT.2021.3130155.
Hu J, Liang Q, Rengaswamy N, Calderbank R. Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers. IEEE Transactions on Information Theory. 2022 Mar 1;68(3):1795–1808.

Published In

IEEE Transactions on Information Theory

DOI

EISSN

1557-9654

ISSN

0018-9448

Publication Date

March 1, 2022

Volume

68

Issue

3

Start / End Page

1795 / 1808

Related Subject Headings

  • Networking & Telecommunications
  • 4613 Theory of computation
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing