Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach"

Stipčević, Mario

Dataset

Ruđer Bošković Institute, 2021. urn:nbn:hr:241:451168

Stipčević, Mario

Dataset

Dataset: dataset1.zip, 2.91 GB
Access Condition: Open access
Description:
Dataset1: 25 strings of 1E9 random bits each stored in binary files, generated by one-stage TRFF at 20 Mbps, accompanied with results of statistical testing with NIST STS v2.1.2. suite stored in ASCII files. (English)

Dataset: dataset2.zip, 2.91 GB
Access Condition: Open access
Description:
Dataset2: 25 strings of 1E9 random bits each stored in binary files, generated by two-stage TRFF at 20 Mbps, accompanied with results of statistical testing with NIST STS v2.1.2. suite stored in ASCII files. (English)

Dataset: dataset3.zip, 513.2 KB
Access Condition: Open access
Description:
Dataset3: high-resolution figures used in the paper. (English)

Dataset: dataset4.zip, 1.89 MB
Access Condition: Open access
Description:
ASCII file diff_S0_45M-1.txt containing detection waiting times recorded with time tagger ID900-MASTER, one per line with resolution od 0.1 ns, figures of the empirical distrbution of waiting times, PAW script to draw the figures. (English)

Dataset: description_of_datasets.txt, 1.14 KB
Access Condition: Open access
Description:
Textual description of datasets 1-5. (English)

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Cite this document

APA 6th Edition

Stipčević, M. (2021). Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach" [Data set]. https://urn.nsk.hr/urn:nbn:hr:241:451168.

MLA 8th Edition

Stipčević, Mario. Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach". Institut Ruđer Bošković, 2021. 17 Nov 2024. https://urn.nsk.hr/urn:nbn:hr:241:451168.

Chicago 17th Edition

Stipčević, Mario. 2021. Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach". Institut Ruđer Bošković. https://urn.nsk.hr/urn:nbn:hr:241:451168.

Harvard

Stipčević, M. 2021. Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach". Institut Ruđer Bošković. [Online]. [Accessed 17 November 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:241:451168.

Vancouver

Stipčević M. Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach". [Internet]. Institut Ruđer Bošković: Zagreb, Bijenička cesta 54, HR; 2021, [cited 2024 November 17] Available from: https://urn.nsk.hr/urn:nbn:hr:241:451168.

IEEE

M. Stipčević, Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach", Institut Ruđer Bošković, 2021. Accessed on: Nov 17, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:241:451168.

Cite this item: https://urn.nsk.hr/urn:nbn:hr:241:451168

Title (english)	Dataset for the scientific article titled: "Scalable quantum random number generator for cryptography based on the random flip-flop approach"
Author	Mario Stipčević Ruđer Bošković Institute Institut Ruđer Bošković
Scientific / art field, discipline and subdiscipline	NATURAL SCIENCES Physics Condensed Matter Physics
Abstract (english)	This dataset is organized in 3 parts: o Dataset1: 25 strings of 1E9 random bits generated by one-stage TRFF accompanied with results of statistical testing with NIST STS v2.1.2. suite o Dataset2: 25 strings of 1E9 random bits generated by two-stage TRFF accompanied with results of statistical testing with NIST STS v2.1.2. suite o Dataset3: high-resolution figures used n the paper.
Methods (english)	Experimental setups from which the data are obtained, and operating conditions at which data are taken, are described in the paper.
Keywords (english)
Language	english
URN:NBN	urn:nbn:hr:241:451168
Publication	2021-03-02
Version	1.0
Geolocation	Zagreb, Bijenička cesta 54, Croatia
Publisher	Institut Ruđer Bošković Ruđer Bošković Institute
Access conditions	Open access
Terms of use
Created on	2021-03-01 23:34:06