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Enhancement of parameter-estimation precision in noisy systems by dynamical decoupling pulses
Author(s) -
Qing-Shou Tan,
Yixiao Huang,
Xiaolei Yin,
Le-Man Kuang,
Xiaoguang Wang
Publication year - 2013
Publication title -
physical review a
Language(s) - English
Resource type - Journals
eISSN - 1094-1622
pISSN - 1050-2947
DOI - 10.1103/physreva.87.032102
Subject(s) - dynamical decoupling , physics , decoupling (probability) , dynamical systems theory , estimation theory , heisenberg limit , limit (mathematics) , statistical physics , algorithm , quantum mechanics , mathematical analysis , computer science , quantum computer , quantum network , mathematics , control engineering , engineering , quantum
We present a scheme to enhance the precision of parameter estimation (PPE) in noisy systems by employing dynamical decoupling pulses. An exact analytical expression for the estimation precision of an unknown parameter is obtained by using the transfer matrix and time-dependent Kraus operators. We show that the PPE in noisy systems can be preserved in the Heisenberg limit by control of the dynamical decoupling pulses. It is found that a larger number of pulses and longer reservoir correlation time can greatly protect the PPE.

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