Input-to-state stability-based continualized quantum filtering for robust phase estimation.

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Title: Input-to-state stability-based continualized quantum filtering for robust phase estimation.
Authors: Jantapremjit, Pakpong1 (AUTHOR) pakpong@eng.buu.ac.th
Source: International Journal of Quantum Information. Dec2025, Vol. 23 Issue 8, p1-29. 29p.
Subjects: Phase estimation (Electronics), Stability theory, Quantum computing, Feedback control systems, Stochastic differential equations, Quantum measurement, Quantum theory, Noise measurement
Abstract: This paper presents a framework integrating input-to-state stability-based continualized quantum filtering with Kitaev's quantum phase estimation to enable robust phase estimation within the Hilbert space of noisy intermediate-scale quantum systems. The approach employs a stochastic master equation to model quantum dynamics, combining quantum phase estimation phase encoding with continuous weak measurements and input-to-state stability analysis to ensure reliable estimation despite stochastic disturbances like measurement noise. Numerical simulations compare the performance of Kitaev's quantum phase estimation and the input-to-state stability-filtered across Gaussian noise levels and under phase damping channel. Future work will focus on optimizing feedback control and validating on hardware to minimize numerical instability. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Quantum Information is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 190578878
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  Data: Input-to-state stability-based continualized quantum filtering for robust phase estimation.
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  Data: <searchLink fieldCode="AR" term="%22Jantapremjit%2C+Pakpong%22">Jantapremjit, Pakpong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pakpong@eng.buu.ac.th</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Quantum+Information%22">International Journal of Quantum Information</searchLink>. Dec2025, Vol. 23 Issue 8, p1-29. 29p.
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  Data: <searchLink fieldCode="DE" term="%22Phase+estimation+%28Electronics%29%22">Phase estimation (Electronics)</searchLink><br /><searchLink fieldCode="DE" term="%22Stability+theory%22">Stability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+computing%22">Quantum computing</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+differential+equations%22">Stochastic differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+measurement%22">Quantum measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+theory%22">Quantum theory</searchLink><br /><searchLink fieldCode="DE" term="%22Noise+measurement%22">Noise measurement</searchLink>
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  Label: Abstract
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  Data: This paper presents a framework integrating input-to-state stability-based continualized quantum filtering with Kitaev's quantum phase estimation to enable robust phase estimation within the Hilbert space of noisy intermediate-scale quantum systems. The approach employs a stochastic master equation to model quantum dynamics, combining quantum phase estimation phase encoding with continuous weak measurements and input-to-state stability analysis to ensure reliable estimation despite stochastic disturbances like measurement noise. Numerical simulations compare the performance of Kitaev's quantum phase estimation and the input-to-state stability-filtered across Gaussian noise levels and under phase damping channel. Future work will focus on optimizing feedback control and validating on hardware to minimize numerical instability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Quantum Information is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1142/S0219749925500315
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 29
        StartPage: 1
    Subjects:
      – SubjectFull: Phase estimation (Electronics)
        Type: general
      – SubjectFull: Stability theory
        Type: general
      – SubjectFull: Quantum computing
        Type: general
      – SubjectFull: Feedback control systems
        Type: general
      – SubjectFull: Stochastic differential equations
        Type: general
      – SubjectFull: Quantum measurement
        Type: general
      – SubjectFull: Quantum theory
        Type: general
      – SubjectFull: Noise measurement
        Type: general
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      – TitleFull: Input-to-state stability-based continualized quantum filtering for robust phase estimation.
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 23
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              Value: 8
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            – TitleFull: International Journal of Quantum Information
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