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Data repository of the paper "Exponential advantage in quantum sensing of correlated parameters"

Year: 2025

Type: article

Abstract: This data repository contains the information necessary to reproduce the main results of the paper “Exponential advantage in quantum sensing of correlated parameters”. The repository also contains code to generate the plots and figures of the paper. The code is made up of python notebook and python files. The python notebook can be run sequentially to produce and plot the main results presented in the paper. The python files contain auxillary functions which are called by the python notebook as appropriate. Since some parts of the code require specific versions of Python packages to run, the required packages are specified in “requirement.txt”. In the readme.txt, we list the notebooks by the section they are relevant for.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15298422

Authors: Prabhu, Sridhar, Kremenetski, Vladimir, Khan, Saeed Ahmed, Yanagimoto, Ryotatsu, McMahon, Peter

Institution: Cornell University

Language: English

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6911894731

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