Quick Navigation
Topics
Trapped Ion Quantum Computing
Quantum Simulation
Source-device-independent monolithically integrated QRNG in a black box with generation rate in excess of 30 Gbit/s
arXiv
Authors: Peter Seigo Kincaid, Lorenzo De Marinis, Francesco Testa, Nicola Andriolli, Giampiero Contestabile
Year
2025
Paper ID
50950
Status
Preprint
Abstract Read
~2 min
Abstract Words
104
Citations
N/A
Abstract
Quantum mechanics provides a secure means of generating random numbers, with applications in fields spanning scientific simulation to cryptography. The first source-device-independent monolithically integrated quantum random number generator is reported. With a generation rate of 35 Gbit/s, the device is based on an InP photonic integrated circuit with a quantum vacuum state entropy source, sampled by heterodyne coherent detection using an optical local oscillator. The entire device is conveniently housed in a black box and includes all the necessary driving and signal conditioning electronics, with electrical interfaces only; the exhibited security, compactness, and fast generation rate make the generator suitable for applications in QKD.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- Quantum mechanics provides a secure means of generating random numbers, with applications in fields spanning scientific simulation to cryptography.
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
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
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.