The University of Southampton
University of Southampton Institutional Repository

Extracting random numbers from quantum tunnelling through a single diode

Extracting random numbers from quantum tunnelling through a single diode
Extracting random numbers from quantum tunnelling through a single diode

Random number generation is crucial in many aspects of everyday life, as online security and privacy depend ultimately on the quality of random numbers. Many current implementations are based on pseudo-random number generators, but information security requires true random numbers for sensitive applications like key generation in banking, defence or even social media. True random number generators are systems whose outputs cannot be determined, even if their internal structure and response history are known. Sources of quantum noise are thus ideal for this application due to their intrinsic uncertainty. In this work, we propose using resonant tunnelling diodes as practical true random number generators based on a quantum mechanical effect. The output of the proposed devices can be directly used as a random stream of bits or can be further distilled using randomness extraction algorithms, depending on the application.

2045-2322
1-6
Bernardo-Gavito, Ramón
cf45cbf2-f5e7-47f9-bb3e-30cbf5005b10
Bagci, Ibrahim Ethem
e1bbc020-49d6-4201-b40b-b80a049b4c11
Roberts, Jonathan
6a8dd625-5eee-4f82-8561-48f240580bd1
Sexton, James
7b227674-bec1-43a7-8f45-01097e781935
Astbury, Benjamin
de0ac311-f067-4639-abfc-9d0bacd07470
Shokeir, Hamzah
884b4632-b7d8-4106-9726-e8767572da51
McGrath, Thomas
68bee9b9-4b8b-4a95-acc7-cf227ed102ea
Noori, Yasir J.
704d0b70-1ea6-4e00-92ce-cc2543087a09
Woodhead, Christopher S.
7a034c66-eefb-4d2a-b6a1-e8e7402076fe
Missous, Mohamed
98ca61fb-84c6-4ec9-9a91-3bfc2cd8dd78
Roedig, Utz
77ec02bf-0a48-4960-b02a-892f27501e6d
Young, Robert J.
333e90a3-3175-44a6-82ab-f543e6e293db
Bernardo-Gavito, Ramón
cf45cbf2-f5e7-47f9-bb3e-30cbf5005b10
Bagci, Ibrahim Ethem
e1bbc020-49d6-4201-b40b-b80a049b4c11
Roberts, Jonathan
6a8dd625-5eee-4f82-8561-48f240580bd1
Sexton, James
7b227674-bec1-43a7-8f45-01097e781935
Astbury, Benjamin
de0ac311-f067-4639-abfc-9d0bacd07470
Shokeir, Hamzah
884b4632-b7d8-4106-9726-e8767572da51
McGrath, Thomas
68bee9b9-4b8b-4a95-acc7-cf227ed102ea
Noori, Yasir J.
704d0b70-1ea6-4e00-92ce-cc2543087a09
Woodhead, Christopher S.
7a034c66-eefb-4d2a-b6a1-e8e7402076fe
Missous, Mohamed
98ca61fb-84c6-4ec9-9a91-3bfc2cd8dd78
Roedig, Utz
77ec02bf-0a48-4960-b02a-892f27501e6d
Young, Robert J.
333e90a3-3175-44a6-82ab-f543e6e293db

Bernardo-Gavito, Ramón, Bagci, Ibrahim Ethem, Roberts, Jonathan, Sexton, James, Astbury, Benjamin, Shokeir, Hamzah, McGrath, Thomas, Noori, Yasir J., Woodhead, Christopher S., Missous, Mohamed, Roedig, Utz and Young, Robert J. (2017) Extracting random numbers from quantum tunnelling through a single diode. Scientific Reports, 7 (1), 1-6. (doi:10.1038/s41598-017-18161-9).

Record type: Article

Abstract

Random number generation is crucial in many aspects of everyday life, as online security and privacy depend ultimately on the quality of random numbers. Many current implementations are based on pseudo-random number generators, but information security requires true random numbers for sensitive applications like key generation in banking, defence or even social media. True random number generators are systems whose outputs cannot be determined, even if their internal structure and response history are known. Sources of quantum noise are thus ideal for this application due to their intrinsic uncertainty. In this work, we propose using resonant tunnelling diodes as practical true random number generators based on a quantum mechanical effect. The output of the proposed devices can be directly used as a random stream of bits or can be further distilled using randomness extraction algorithms, depending on the application.

Text
s41598-017-18161-9 - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 6 December 2017
e-pub ahead of print date: 19 December 2017
Published date: December 2017

Identifiers

Local EPrints ID: 425676
URI: https://eprints.soton.ac.uk/id/eprint/425676
ISSN: 2045-2322
PURE UUID: 59108b5e-a130-4b3f-b357-15cbaea94f97
ORCID for Yasir J. Noori: ORCID iD orcid.org/0000-0001-5285-8779

Catalogue record

Date deposited: 31 Oct 2018 17:30
Last modified: 14 Mar 2019 01:21

Export record

Altmetrics

Contributors

Author: Ramón Bernardo-Gavito
Author: Ibrahim Ethem Bagci
Author: Jonathan Roberts
Author: James Sexton
Author: Benjamin Astbury
Author: Hamzah Shokeir
Author: Thomas McGrath
Author: Yasir J. Noori ORCID iD
Author: Christopher S. Woodhead
Author: Mohamed Missous
Author: Utz Roedig
Author: Robert J. Young

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×