2026-10-15T09:30:24Z https://api.figshare.com/v2/oai

oai:figshare.com:article/31150573 2026-01-27T08:55:55Z category_30235 category_30238 portal_918 item_type_3 month_year_01_2026

Computational data for: Markovian approach <i>N</i>-photon correlations beyond the quantum regression theorem Mateusz Salamon (23060302) Oliver Dudgeon (23060362) Ahsan Nazir (21713411) Jake Iles-Smith (19518130) Quantum optics and quantum optomechanics Quantum technologies Open quantum systems Quantum dots Phonons Photon correlations <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="https://doi.org/10.1103/pgk3-b57l" rel="noreferrer" target="_blank">https://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⁽²⁾(0)]. 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> 2026-01-27T08:55:55Z Dataset Dataset 10.48420/31150573.v1 https://figshare.com/articles/dataset/Computational_data_for_Markovian_approach_i_N_i_-photon_correlations_beyond_the_quantum_regression_theorem/31150573 CC BY 4.0