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Data · dataset · 2026

Computational data for: Markovian approach <i>N</i>-photon correlations beyond the quantum regression theorem

Listed in University of Manchester figshare

Description

<p dir="ltr">This repository contains computer generated data and figures for the publication "Markovian approach to <i>N</i>-photon correlations beyond the quantum regression theorem" by M. Salamon <i>et al. </i>(<a href="doi.org/10.1103/pgk3-b57l" rel="noreferrer" target="_blank">doi.org/10.1103/pgk3-b57l</a>).</p><p dir="ltr">The data was generated by numerically solving for the steady-state of the combined emitter-sensors system using Python 3.11, as outlined in the associated publication.</p><p dir="ltr">Data for Fig. 2 is saved as .dat plain text files with comma-separated variables in two columns: frequencies and intensities.

Comments in the header begin with '#'. There are 3 data files corresponding to data generated with the sensor method, QRT and TEMPO.<br>Data for Fig. 3 is saved as NumPy .npz binary files. Arrays labelled 'x' and 'y' correspond to a grid of frequency values and arrays labelled 'z' correspond to second-order coherence data [g<sup>(2)</sup>(0)].

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There are two data files: one includes phonon interactions and the other does not.</p><p><br></p><p dir="ltr">Folder 'Plotting scripts' contains Python scripts that allow for reproducing Figures 2 and 3a), 3b), and Figure S1 of the associated article.</p>

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
University of Manchester figshareoai:figshare.com:article/3115057316 h agoJSON v1
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