QuanEstimation.jl: An open-source Julia framework for quantum parameter estimation

TL;DR

QuanEstimation.jl is an open-source Julia framework that facilitates the evaluation and design of quantum parameter estimation schemes, especially under noisy conditions, supporting quantum metrology's transition to practical applications.

Contribution

It introduces a versatile software package for quantum scheme evaluation and design, integrating with existing tools and addressing noise effects in quantum metrology.

Findings

Enables efficient scheme evaluation with noise considerations

Supports both independent and integrated use with other packages

Facilitates optimal scheme design in quantum metrology

Abstract

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 (4) (2022) 043057]. Utilizing this framework, the scheme evaluation and design in quantum parameter estimation can be readily performed, especially when quantum noises exist.