Deterministic generation of a two-dimensional cluster state
datasetposted on 18.10.2019 by Mikkel Vilsbøll Larsen, Xueshi Guo, Casper Rubæk Breum, Jonas Schou Neergaard-Nielsen, Ulrik Lund Andersen
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Data and analysis code supporting "Deterministic generation of a two-dimensional cluster state" (https://doi.org/10.1126/science.aay4354). This repository includes two data sets: A short set of 400us long time traces, and a long set of 4ms long time traces, both acquired from two homodyne detectors continuously measuring x- and p-quadratures on the output af a temporal multiplexed 2D cluster state generation setup. With the code provided, quadratures of the cluster state's temporal modes are extracted from the time traces, and the nullifier variance are calculated as result. For more information, see readme.txt.