Electro-optic frequency shift of single photons from a quantum dot

General InformationTitle of Manuscript: Electro-optic frequency shift of single photons from a quantum dotAuthors: Sanjay Kapoor, Aleksander Rodek, Michał Mikołajczyk, Jerzy Szuniewicz, Filip Sośnicki, Tomasz Kazimierczuk, Piotr Kossacki, Michał KarpińskiCorresponding Author Email: [e-mail], [e-mail]: Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warszawa, PolandManuscript DOI: https://doi.org/10.1515/nanoph-2024-0550Journal: Nanophotonics, Volume: 14, Issue: 11, Page Range: 1775-1782, Year: 2025Dataset License: CC-BY 4.0Description of the DataThe dataset provides the raw experimental data and processing scripts used to demonstrate deterministic frequency shift of single photons from a semiconductor quantum dot (QD) using an electro-optic phase modulator (EOPM). The spectral shifts are achieved using a serrodyne electro-optic phase modulation technique. The data includes: 1. Spectal measurements: Acquired using a single-photon grating spectrometer (Acton SP-2750i and Andor Newton CCD). 2. Time-correlation data: Measured using a time-tagger (HydraHarp 400) for second order correclation measurements and Hong-Ou-Mandel (HOM) indistinguishability experiments.File Structure and ContentsThe dataset is organized into four main directories corresponding to specific figures in the manuscript.1. Folder: Figure_2_SpectraDescription: Contains five ASCII data files used to generate Figure 2. These files represent the photoluminescence spectrum of a single QD under various electro-optic modulation states.Parameters: Acquisition time: 20 seconds, Bias voltage: 1.333 V, Excitation wavelength: 930.1 nm, First column: wavelength (nm), Second column: Counts (in 20 seconds)d001_true_background.ascThe data represents the background spectrum of the experimental evironment when the excitation laser was off. This spectrum is subtracted from all the measured spectra during the post processing of the data.d001_res_ex_eopm_off_bias_detuned.ascThe data represents spectrum of the QD under resonant excitation when the bias voltage (0.8 Volts) was detuned. It allows measuring the excitation laser leaking from the QD setup. The black data points in Fig. 2.d001_res_ex_eopm_off_no_shift.ascThe data represents spectrum of the QD under resonant excitation when the EOPM was off. The green data points in Fig. 2.d001_res_ex_eopm_on_blue_shift.ascThe data represents spectrum of the QD under resonant excitation when the EOPM was driven with a sawtooth waveform with a positive slope resulting in a blue shift of the QD emission. The blue data points in Fig. 2.d001_res_ex_eopm_on_red_shift.ascThe data represents spectrum of the QD under resonant excitation when the EOPM was driven with a sawtooth waveform with a negative slope resulting in a red shift of the QD emission. The red data points in Fig. 2.plot_fig2_spectra.pyThe Python script used to read the (.asc) spectrum files and post process the data and generate Fig. 2 of the manuscript.spectra_fit.pngThe figure generated using the Python script.2. Folder: Figure_3_g2(0)Description: Contains data for Figure 3. These three (.dat) files contain data for the time correlated measurements using a time tagger for second-order correlation measurements of single photons. The first column is the coincidence counts between channel 1 and channel 2 of the time tagger which were connected to the outputs of fiber beam splitter, spliting the single photons from the QD. Parameters: Bin width: 128 ps, Acquisition time: 15 minutes.d002_g2_eopm_off_no_shift.datTime-correralted histogram measurement when the EOPM was off, the green data points in Fig. 3 of the manuscript.d002_g2_eopm_on_red_shift.datTime-correlated histogram measurement when the EOPM was driven with a sawtooth RF waveform resulting in a red shift, the red data points in Fig. 3 of the manuscript.d002_g2_eopm_on_blue_shift.datTime-correlated histogram measurement when the EOPM was driven with a sawtooth RF waveform resulting in a blue shift, the blue data points in Fig. 3 of the manuscript.plot_fig3_g2.pyThe Python script used to read the above three .dat files and post process the data, and generate the plots for Fig. 3.g2.pngThe figure generated using the Python script.3. Folder: Figure_4_HOMIDescription: Contains data for Figure 4. These four (.dat) files contain data for the HOM interference measurements in an unbalanced fiber Mach-Zehnder interferometer with a 26 ns delay between the two arms.Parameters: Bin width = 128 psd002_hom_eopm_off_no_shift_orthogonal_pol.datCross-polarized (orthogonal) configuration, when the EOPM was off resulting in maximum distinguishability between the two arms. The orange trace in Fig. 4 (a). The data acquisition time was 19 minutes.d002_hom_eopm_off_no_shift_parallel_pol.datCo-polarized (parallel) configuration, when the EOPM was off resulting in maximum indistinguishability between the two arms. The green trace in Fig. 4 (a). The data acquisition time was 15 minutes.d002_hom_eopm_on_red_shift_parallel_pol.datCo-polarized (parallel) configuration, when the EOPM was driven with a sawtooth RF waveform (4.56 GHz) resulting in a red shift, the red trace in Fig. 4 (b) of the manuscript. The data acquisition time was 15 minutes.d002_hom_eopm_on_blue_shift_parallel_pol.datCo-polarized (parallel) configuration, when the EOPM was driven with a sawtooth RF waveform (4.56 GHz)resulting in a blue shift, the blue trace in Fig. 4 (b) of the manuscript. The data acquisition time was 15 minutes.plot_fig4_homi.pyThe Python script used to read the above four .dat files and post process the data, and generate the plots for Fig. 4.homi.pngThe plot generated using the Python script.4. Folder: Figure_5a_Tunable_shiftDescription: Contains three subfolders containing data for Figure 5 (a). These files represent the spectrum measured for different modulation frequencies, demonstrating the tunablity of the spectral shift.Subfolder: 2_28GHz, 4_56GHz, 5_32GHzEach subfolder contains the following .asc files: `no_shift`, `blue_shift`, `red_shift`, and `bias_detuned`.plot_all_spectra.pyThe Python script to aggregate data from all frequencies into a single plot for Fig. 5a.spectral_shift.pngThe plot generated using the Python script.Packages and DependenciesDescription: All scripts were tested with Python 3.13 on March 2nd, 2026. Required packages:numpy 2.1.3matplotlib 3.9.2scipy 1.16.1