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

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.

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Cited by in corpus (4)

• QuanEstimation: An open-source toolkit for quantum parameter estimation
• A tensor network approach to sensing quantum light-matter interactions
• Quantum Fisher information from tensor network integration of Lyapunov equation
• QMetro++ -- Python optimization package for large scale quantum metrology with customized strategy structures