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ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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Photonic-computing error correction through optical en-/decoder calibrations: Matlab code

Authors: Carstensen, Adam; Vosoughi Lahijani, Babak;

Photonic-computing error correction through optical en-/decoder calibrations: Matlab code

Abstract

Supplementary code for the paper: A. Carstensen et al., "Photonic-computing error correction through optical en-/decoder calibrations" This code reproduces the figures in the manuscript. Exact plots will differ from run to run due to different random number seeds and numbers of sample instances (more instances give cleaner plots, but take longer to compute). The figures are produced by the files:- FIG4a_sim.m- FIG4bc_sim.m- FIG5_sim.mLoading the files:- FIG4a_data.mat- FIG4bc_data.mat- FIG5_data.mat, recreates the plot data used in the manuscript. Requirements:- MATLAB R2025- MATLAB toolboxes: Parallel computing toolbox (Not required, but it makes it faster).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average