  As the main theoretical support of quantum metrology, quantum parameter
estimation must follow the steps of quantum metrology towards the applied
science and industry. Hence, optimal scheme design will soon be a crucial and
core task for quantum parameter estimation. To efficiently accomplish this
task, software packages aimed at computer-aided design are in high demand. In
response to this need, we hereby introduce QuanEstimation.jl, an open-source
Julia framework for scheme evaluation and design in quantum parameter
estimation. It can be used either as an independent package or as the
computational core of the recently developed hybrid-language (Python-Julia)
package QuanEstimation [Phys. Rev. Res. 4, 043057 (2022)]. Utilizing this
framework, the scheme evaluation and design in quantum parameter estimation can
be readily performed, especially when quantum noises exist.
