TNQMetro: Tensor-network based package for efficient quantum metrology computations

TL;DR

TNQMetro is a Python package leveraging tensor-network methods to efficiently compute quantum measurement bounds, overcoming dimensionality challenges and enabling analysis of finite and asymptotic quantum precision scaling.

Contribution

It introduces a user-friendly tensor-network based software for quantum metrology calculations, capable of handling finite systems and asymptotic scaling analysis.

Findings

Efficiently computes quantum bounds on measurement precision.

Overcomes the curse of dimensionality in quantum calculations.

Determines asymptotic scaling of quantum measurement precision.

Abstract

TNQMetro is a numerical package written in Python for calculations of fundamental quantum bounds on measurement precision. Thanks to the usage of the tensor-network formalism it can beat the curse of dimensionality and provides an efficient framework to calculate bounds for finite size system as well as determine the asymptotic scaling of precision in systems where quantum enhancement amounts to a constant factor improvement over the Standard Quantum Limit. It is written in a user-friendly way so that the basic functions do not require any knowledge of tensor networks.