A Compact Quantum Random Number Generator Based on Balanced Detection of Shot Noise
Jaideep Singh, Rodrigo Piera, Yury Kurochkin, James A. Grieve

TL;DR
This paper introduces a compact, cost-effective quantum random number generator that uses balanced detection of shot noise from an LED, enhancing quantum noise isolation for secure cryptographic applications.
Contribution
It presents a practical QRNG design using off-the-shelf components with improved noise isolation, suitable for easy integration into existing systems.
Findings
Achieved high-quality randomness through balanced shot noise detection.
Designed a compact and cost-effective QRNG suitable for mass production.
Demonstrated improved quantum noise isolation compared to traditional methods.
Abstract
Random Number Generators are critical components of modern cryptosystems. Quantum Random Number Generators (QRNG) have emerged to provide high-quality randomness for these applications. Here we describe a scheme to extract random numbers using balanced detection of shot noise from an LED in a commercially available off-the-shelf package. The balanced detection minimizes classical noise contributions from the optical field, improving the isolation of the quantum noise. We present a detailed description and analyze the performance of a QRNG that can be easily integrated into existing systems without the requirement of custom components. The design is optimised for manufacturability, cost, and size.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Chaos-based Image/Signal Encryption · Quantum Information and Cryptography
