Cite this article:
Wang-Sheng Zheng, Chen-Xia Zhang, Bei-Li Gong. Improving cutoff frequency estimation via optimized π-pulse sequenceJ. Chin. Phys. B, 2025, 34(1): 010309.
| Wang-Sheng Zheng, Chen-Xia Zhang, Bei-Li Gong. Improving cutoff frequency estimation via optimized π-pulse sequenceJ. Chin. Phys. B, 2025, 34(1): 010309. |
Improving cutoff frequency estimation via optimized π-pulse sequence
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Abstract
The cutoff frequency is one of the crucial parameters that characterize the environment. In this paper, we estimate the cutoff frequency of the Ohmic spectral density by applying the π-pulse sequences (both equidistant and optimized) to a quantum probe coupled to a bosonic environment. To demonstrate the precision of cutoff frequency estimation, we theoretically derive the quantum Fisher information (QFI) and quantum signal-to-noise ratio (QSNR) across sub-Ohmic, Ohmic, and super-Ohmic environments, and investigate their behaviors through numerical examples. The results indicate that, compared to the equidistant π-pulse sequence, the optimized π-pulse sequence significantly shortens the time to reach maximum QFI while enhancing the precision of cutoff frequency estimation, particularly in deep sub-Ohmic and deep super-Ohmic environments. -
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