QuanEstimation.jl is an open-source toolkit for quantum parameter estimation, which can be used to perform general evaluations of many metrological tools and scheme designs in quantum parameter estimation.
This package is also the Julia implementation of QuanEstimation.
Run the command in the julia REPL to install QuanEstimation:
julia > using Pkg
julia > Pkg.add("QuanEstimation")
The documentation for both QuanEstimation and QuanEstimation.jl is here. An independent documentation for QuanEstimation.jl is here, which is still under construction and we will make it functional as soon as we can.
If you use QuanEstimation in your research, please cite the following papers:
[1] M. Zhang, H.-M. Yu, H. Yuan, X. Wang, R. Demkowicz-Dobrzański, and J. Liu, QuanEstimation: An open-source toolkit for quantum parameter estimation, Phys. Rev. Res. 4, 043057 (2022).
[2] H.-M. Yu and J. Liu, QuanEstimation.jl: An open-source Julia framework for quantum parameter estimation, Fundam. Res. (2025).
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Development of the GRAPE algorithm:
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auto-GRAPE:
M. Zhang, H.-M. Yu, H. Yuan, X. Wang, R. Demkowicz-Dobrzański, and J. Liu,
QuanEstimation: An open-source toolkit for quantum parameter estimation,
Phys. Rev. Res. 4, 043057 (2022). -
GRAPE for single-parameter estimation:
J. Liu and H. Yuan, Quantum parameter estimation with optimal control,
Phys. Rev. A 96, 012117 (2017). -
GRAPE for multiparameter estimation:
J. Liu and H. Yuan, Control-enhanced multiparameter quantum estimation,
Phys. Rev. A 96, 042114 (2017).
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