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Trapped Ion Quantum Computing

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

arXiv
Authors: Krzysztof Chabuda, Rafal Demkowicz-Dobrzanski

Year

2021

Paper ID

63185

Status

Preprint

Abstract Read

~2 min

Abstract Words

89

Citations

N/A

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.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2021 reference point for readers tracking recent quantum research.
  • TNQMetro is a numerical package written in Python for calculations of fundamental quantum bounds on measurement precision.

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