2016
DOI: 10.1364/optica.3.000989
|View full text |Cite
|
Sign up to set email alerts
|

Quantum entropy source on an InP photonic integrated circuit for random number generation

Abstract: Random number generators are essential to ensure performance in information technologies, including cryptography, stochastic simulations and massive data processing. The quality of random numbers ultimately determines the security and privacy that can be achieved, while the speed at which they can be generated poses limits to the utilisation of the available resources. In this work we propose and demonstrate a quantum entropy source for random number generation on an indium phosphide photonic integrated circui… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
72
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 105 publications
(72 citation statements)
references
References 32 publications
0
72
0
Order By: Relevance
“…This might be a practical challenge for ultrahigh speed implementations when the repetition rate of the pulsed laser reaches tens of GHz. Therefore, we conclude that case II, cw+pulse, may be the best choice for high-speed implementation of QRNG based on quantum phase noise (as demonstrated recently in [23,24]), while case I is suitable for simple and lowcost applications that may require slow rate QRNG only. Notice that high-speed implementation of case I is still possible by changing the scheme to a broadband source and a homodyne detection [25].…”
Section: (A) and 3(b)mentioning
confidence: 55%
See 2 more Smart Citations
“…This might be a practical challenge for ultrahigh speed implementations when the repetition rate of the pulsed laser reaches tens of GHz. Therefore, we conclude that case II, cw+pulse, may be the best choice for high-speed implementation of QRNG based on quantum phase noise (as demonstrated recently in [23,24]), while case I is suitable for simple and lowcost applications that may require slow rate QRNG only. Notice that high-speed implementation of case I is still possible by changing the scheme to a broadband source and a homodyne detection [25].…”
Section: (A) and 3(b)mentioning
confidence: 55%
“…In the second case, LD1 operates in CW mode, while LD2 operates in pulsed mode. This scheme has been recently demonstrated in [23,24]. In our experiment, LD2's repetition rate is 500 MHz, and its 3-dB width is 433.2 ps with the standard deviation 27.0 ps.…”
mentioning
confidence: 83%
See 1 more Smart Citation
“…Moreover, if it is wished to apply our optical random bits in electronics, the only requirement is to effect a conversion using a broadband photodetector. As far as we know, commercially available photodetectors have reached a response bandwidth of order 100 GHz [46].…”
Section: Sh Hn  mentioning
confidence: 99%
“…In practice, to conduct randomness extraction effectively, the quantum noise should be dominant over the technical noises. Among various QRNG implementations, schemes based on photonic technology have drawn a lot of attention for high rates, low cost and the potential of chip-size integration [15,16]. Both single photon detectors and optical homodyne detectors have been employed in photonic QRNGs.…”
mentioning
confidence: 99%