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Achieving the Heisenberg limit in quantum metrology using quantum error correction

Author

Listed:
  • Sisi Zhou

    (Yale University
    Yale University)

  • Mengzhen Zhang

    (Yale University
    Yale University)

  • John Preskill

    (California Institute of Technology)

  • Liang Jiang

    (Yale University
    Yale University)

Abstract

Quantum metrology has many important applications in science and technology, ranging from frequency spectroscopy to gravitational wave detection. Quantum mechanics imposes a fundamental limit on measurement precision, called the Heisenberg limit, which can be achieved for noiseless quantum systems, but is not achievable in general for systems subject to noise. Here we study how measurement precision can be enhanced through quantum error correction, a general method for protecting a quantum system from the damaging effects of noise. We find a necessary and sufficient condition for achieving the Heisenberg limit using quantum probes subject to Markovian noise, assuming that noiseless ancilla systems are available, and that fast, accurate quantum processing can be performed. When the sufficient condition is satisfied, a quantum error-correcting code can be constructed that suppresses the noise without obscuring the signal; the optimal code, achieving the best possible precision, can be found by solving a semidefinite program.

Suggested Citation

  • Sisi Zhou & Mengzhen Zhang & John Preskill & Liang Jiang, 2018. "Achieving the Heisenberg limit in quantum metrology using quantum error correction," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02510-3
    DOI: 10.1038/s41467-017-02510-3
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    Cited by:

    1. Dorit Aharonov & Jordan Cotler & Xiao-Liang Qi, 2022. "Quantum algorithmic measurement," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. W. Wang & Z.-J. Chen & X. Liu & W. Cai & Y. Ma & X. Mu & X. Pan & Z. Hua & L. Hu & Y. Xu & H. Wang & Y. P. Song & X.-B. Zou & C.-L. Zou & L. Sun, 2022. "Quantum-enhanced radiometry via approximate quantum error correction," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

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