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Spectral analysis and identification of noises in quantum systems

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Spectral analysis and identification of noises in quantum systems. / Wu, R. B.; Li, T. F.; Kofman, A. G. ; Zhang, J.; Liu, Yu-Xi; Pashkin, Yuri; Tsai, J.-S.; Nori, Franco.

In: Physical review a, Vol. 87, No. 2, 19.02.2013, p. 022324.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Wu, RB, Li, TF, Kofman, AG, Zhang, J, Liu, Y-X, Pashkin, Y, Tsai, J-S & Nori, F 2013, 'Spectral analysis and identification of noises in quantum systems', Physical review a, vol. 87, no. 2, pp. 022324. https://doi.org/10.1103/PhysRevA.87.022324

APA

Wu, R. B., Li, T. F., Kofman, A. G., Zhang, J., Liu, Y-X., Pashkin, Y., Tsai, J-S., & Nori, F. (2013). Spectral analysis and identification of noises in quantum systems. Physical review a, 87(2), 022324. https://doi.org/10.1103/PhysRevA.87.022324

Vancouver

Wu RB, Li TF, Kofman AG, Zhang J, Liu Y-X, Pashkin Y et al. Spectral analysis and identification of noises in quantum systems. Physical review a. 2013 Feb 19;87(2):022324. https://doi.org/10.1103/PhysRevA.87.022324

Author

Wu, R. B. ; Li, T. F. ; Kofman, A. G. ; Zhang, J. ; Liu, Yu-Xi ; Pashkin, Yuri ; Tsai, J.-S. ; Nori, Franco. / Spectral analysis and identification of noises in quantum systems. In: Physical review a. 2013 ; Vol. 87, No. 2. pp. 022324.

Bibtex

@article{d0dddc0e94f1448e9ebcaadf0696b8ef,
title = "Spectral analysis and identification of noises in quantum systems",
abstract = "In quantum information processing, knowledge of the noise in the system is crucial for high-precision manipulation and tomography of coherent quantum operations. Existing strategies for identifying this noise require the use of additional quantum devices or control pulses. We present a noise-identification method directly based on the system's non-Markovian response of an ensemble measurement to the noise. The noise spectrum is identified by reversing the response relationship in the frequency domain. For illustration, the method is applied to superconducting charge qubits, but it is equally applicable to any type of qubits. We find that the identification strategy recovers the well-known Fermi's golden rule under the lowest-order perturbation approximation, which corresponds to the Markovian limit when the measurement time is much longer than the noise correlation time. Beyond such approximation, it is possible to further improve the precision at the so-called optimal point by incorporating the transient response data in the non-Markovian regime. This method is verified with experimental data from coherent oscillations in a superconducting charge qubit.",
author = "Wu, {R. B.} and Li, {T. F.} and Kofman, {A. G.} and J. Zhang and Yu-Xi Liu and Yuri Pashkin and J.-S. Tsai and Franco Nori",
year = "2013",
month = feb,
day = "19",
doi = "10.1103/PhysRevA.87.022324",
language = "English",
volume = "87",
pages = "022324",
journal = "Physical review a",
issn = "1050-2947",
publisher = "American Physical Society",
number = "2",

}

RIS

TY - JOUR

T1 - Spectral analysis and identification of noises in quantum systems

AU - Wu, R. B.

AU - Li, T. F.

AU - Kofman, A. G.

AU - Zhang, J.

AU - Liu, Yu-Xi

AU - Pashkin, Yuri

AU - Tsai, J.-S.

AU - Nori, Franco

PY - 2013/2/19

Y1 - 2013/2/19

N2 - In quantum information processing, knowledge of the noise in the system is crucial for high-precision manipulation and tomography of coherent quantum operations. Existing strategies for identifying this noise require the use of additional quantum devices or control pulses. We present a noise-identification method directly based on the system's non-Markovian response of an ensemble measurement to the noise. The noise spectrum is identified by reversing the response relationship in the frequency domain. For illustration, the method is applied to superconducting charge qubits, but it is equally applicable to any type of qubits. We find that the identification strategy recovers the well-known Fermi's golden rule under the lowest-order perturbation approximation, which corresponds to the Markovian limit when the measurement time is much longer than the noise correlation time. Beyond such approximation, it is possible to further improve the precision at the so-called optimal point by incorporating the transient response data in the non-Markovian regime. This method is verified with experimental data from coherent oscillations in a superconducting charge qubit.

AB - In quantum information processing, knowledge of the noise in the system is crucial for high-precision manipulation and tomography of coherent quantum operations. Existing strategies for identifying this noise require the use of additional quantum devices or control pulses. We present a noise-identification method directly based on the system's non-Markovian response of an ensemble measurement to the noise. The noise spectrum is identified by reversing the response relationship in the frequency domain. For illustration, the method is applied to superconducting charge qubits, but it is equally applicable to any type of qubits. We find that the identification strategy recovers the well-known Fermi's golden rule under the lowest-order perturbation approximation, which corresponds to the Markovian limit when the measurement time is much longer than the noise correlation time. Beyond such approximation, it is possible to further improve the precision at the so-called optimal point by incorporating the transient response data in the non-Markovian regime. This method is verified with experimental data from coherent oscillations in a superconducting charge qubit.

U2 - 10.1103/PhysRevA.87.022324

DO - 10.1103/PhysRevA.87.022324

M3 - Journal article

VL - 87

SP - 022324

JO - Physical review a

JF - Physical review a

SN - 1050-2947

IS - 2

ER -