scholarly journals Quantum Random Number Generation for 1.25-GHz Quantum Key Distribution Systems

2015 ◽  
Vol 33 (13) ◽  
pp. 2855-2859 ◽  
Author(s):  
Anthony Martin ◽  
Bruno Sanguinetti ◽  
Charles Ci Wen Lim ◽  
Raphael Houlmann ◽  
Hugo Zbinden
Keyword(s):  
Quantum Key Distribution ◽  
Distribution Systems ◽  
Random Number ◽  
Random Number Generation ◽  
Key Distribution ◽  
Number Generation

scholarly journals Practical random number generation protocol for entanglement-based quantum key distribution

2009 ◽  
Vol 9 (7&8) ◽  
pp. 683-692
Author(s):  
G.B. Xavier ◽  
T. Ferreira da Silva ◽  
G. Vilela de Faria ◽  
G.P. Temporao ◽  
J.P. von der Weid
Keyword(s):  
Quantum Key Distribution ◽  
Random Number ◽  
Single Photon ◽  
Photon Counting ◽  
Random Number Generation ◽  
Key Distribution ◽  
Photon Detectors ◽  
Random Number Generators ◽  
Single Photon Counting ◽  
Simple Protocol

A simple protocol which takes advantage of the inherent random times of detections in single photon counting modules is presented for random active basis choices when using entanglement-based protocols for Quantum Key Distribution (QKD). It may also be applicable to the BB84 protocol in certain cases. The scheme presented uses the single photon detectors already present on a QKD setup, working on the same rate as the system is capable of detecting, and is, therefore, not limited by the output rates of quantum random number generators. This protocol only requires small hardware modifications making it an attractive solution. We perform a proof-of-principle experiment employing a spontaneous parametric down-conversion process in a $\chi^{(2)}$ non-linear crystal to demonstrate the feasibility of our scheme, and show that the generated sequence passes randomness tests.

Random Number Generation Based on the Rossler Attractor

2014 ◽  
Vol 1 ◽  
pp. 272-275 ◽  
Author(s):  
Vincent Canals ◽  
Antoni Morro ◽  
Josep L. Rosselló
Keyword(s):  
Random Number ◽  
Random Number Generation ◽  
Number Generation

On-chip tunable SOI interferometer for quantum random number generation based on phase diffusion in lasers

2021 ◽  
Vol 485 ◽  
pp. 126736
Author(s):  
Muhammad Imran ◽  
Vito Sorianello ◽  
Francesco Fresi ◽  
Bushra Jalil ◽  
Marco Romagnoli ◽  
...  
Keyword(s):  
Random Number ◽  
Random Number Generation ◽  
Phase Diffusion ◽  
Number Generation ◽  
On Chip

scholarly journals Mutually unbiased bases and symmetric informationally complete measurements in Bell experiments

2021 ◽  
Vol 7 (7) ◽  
pp. eabc3847
Author(s):  
Armin Tavakoli ◽  
Máté Farkas ◽  
Denis Rosset ◽  
Jean-Daniel Bancal ◽  
Jedrzej Kaniewski
Keyword(s):  
Quantum Key Distribution ◽  
Random Number ◽  
Random Number Generation ◽  
Bell Inequalities ◽  
Extremal Point ◽  
Optimal Rate ◽  
Quantum Nonlocality ◽  
Space Structures ◽  
Mutually Unbiased Bases ◽  
Practical Relevance

Mutually unbiased bases (MUBs) and symmetric informationally complete projectors (SICs) are crucial to many conceptual and practical aspects of quantum theory. Here, we develop their role in quantum nonlocality by (i) introducing families of Bell inequalities that are maximally violated by d-dimensional MUBs and SICs, respectively, (ii) proving device-independent certification of natural operational notions of MUBs and SICs, and (iii) using MUBs and SICs to develop optimal-rate and nearly optimal-rate protocols for device-independent quantum key distribution and device-independent quantum random number generation, respectively. Moreover, we also present the first example of an extremal point of the quantum set of correlations that admits physically inequivalent quantum realizations. Our results elaborately demonstrate the foundational and practical relevance of the two most important discrete Hilbert space structures to the field of quantum nonlocality.

scholarly journals True Random Number Generator Based on Fibonacci-Galois Ring Oscillators for FPGA

2021 ◽  
Vol 11 (8) ◽  
pp. 3330
Author(s):  
Pietro Nannipieri ◽  
Stefano Di Matteo ◽  
Luca Baldanzi ◽  
Luca Crocetti ◽  
Jacopo Belli ◽  
...  
Keyword(s):  
Field Programmable Gate Array ◽  
Random Number ◽  
Random Number Generator ◽  
Random Number Generation ◽  
Galois Ring ◽  
Number Generator ◽  
True Random Number Generator ◽  
Number Generation ◽  
Field Programmable ◽  
Gate Array

Random numbers are widely employed in cryptography and security applications. If the generation process is weak, the whole chain of security can be compromised: these weaknesses could be exploited by an attacker to retrieve the information, breaking even the most robust implementation of a cipher. Due to their intrinsic close relationship with analogue parameters of the circuit, True Random Number Generators are usually tailored on specific silicon technology and are not easily scalable on programmable hardware, without affecting their entropy. On the other hand, programmable hardware and programmable System on Chip are gaining large adoption rate, also in security critical application, where high quality random number generation is mandatory. The work presented herein describes the design and the validation of a digital True Random Number Generator for cryptographically secure applications on Field Programmable Gate Array. After a preliminary study of literature and standards specifying requirements for random number generation, the design flow is illustrated, from specifications definition to the synthesis phase. Several solutions have been studied to assess their performances on a Field Programmable Gate Array device, with the aim to select the highest performance architecture. The proposed designs have been tested and validated, employing official test suites released by NIST standardization body, assessing the independence from the place and route and the randomness degree of the generated output. An architecture derived from the Fibonacci-Galois Ring Oscillator has been selected and synthesized on Intel Stratix IV, supporting throughput up to 400 Mbps. The achieved entropy in the best configuration is greater than 0.995.

scholarly journals On speeding up stochastic simulations by parallelization of random number generation

2015 ◽  
Vol 137 ◽  
pp. 828-836 ◽  
Author(s):  
Che-Chi Shu ◽  
Vu Tran ◽  
Jeremy Binagia ◽  
Doraiswami Ramkrishna
Keyword(s):  
Random Number ◽  
Random Number Generation ◽  
Stochastic Simulations ◽  
Number Generation
Sign in / Sign up

Export Citation Format

Share Document