Quick Navigation

Topics

Trapped Ion Quantum Computing

Extracting random numbers from quantum tunnelling through a single diode

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

Year

2017

Paper ID

45050

Status

Preprint

Abstract Read

~2 min

Abstract Words

139

Citations

N/A

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.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #45050 #67360 Quadrupolar resonance spectrosc... #67353 Operational Framework for a Qua... #67351 Quantum-assisted Rendezvous on ... #67347 Evidence of the quantum-optical...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.