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Quanestimation.jl: An open-source Julia framework for quantum parameter estimation
Huai-Ming Yu1,2, Jing Liu1,2
1Center for Theoretical Physics and School of Physics and Optoelectronic Engineering, Hainan University, Haikou 570228, China.
Fundamental Research
|August 1, 2026
Summary
QuanEstimation.jl is an open-source Julia framework for designing and evaluating quantum parameter estimation schemes. This tool aids in optimizing quantum metrology applications, even in the presence of quantum noise.
Area of Science:
- Quantum physics
- Quantum metrology
- Computational physics
Background:
- Quantum parameter estimation is essential for advancing quantum metrology.
- Optimal scheme design is critical for practical quantum metrology applications.
- There is a growing demand for computer-aided design tools in this field.
Purpose of the Study:
- Introduce QuanEstimation.jl, an open-source Julia framework.
- Provide a tool for efficient scheme evaluation and design in quantum parameter estimation.
- Facilitate the application of quantum metrology in science and industry.
Main Methods:
- Development of an open-source Julia framework named QuanEstimation.jl.
- Integration capabilities with existing hybrid-language packages (Python-Julia).
- Focus on scheme evaluation and design, particularly considering quantum noise.
Main Results:
- QuanEstimation.jl enables readily performing scheme evaluation and design.
- The framework supports independent use or as a computational core.
- It is particularly effective for scenarios involving quantum noises.
Conclusions:
- QuanEstimation.jl addresses the need for efficient computer-aided design in quantum parameter estimation.
- The framework facilitates the transition of quantum metrology towards applied science and industry.
- It offers a valuable resource for researchers and developers in quantum technologies.
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