Speaker
Description
Quantum random number generators (QRNGs) exploit inherently unpredictable quantum effects to generate genuine randomness, making them valuable for cryptographic and scientific applications. One promising approach is based on homodyne detection of the vacuum state. In this work, we develop a QRNG using this technique and evaluate both the raw and postprocessed random sequences using the AIS 20/31 statistical test suite in real time.
Our security analysis takes a conservative approach by accounting for imperfections caused by digitization. This analysis establishes a reliable min-entropy of 9.5 bits per sample. Extensive testing demonstrates real-time generation rates of 8.84 Gbit/s with algorithmic postprocessing and 4.14 Gbit/s with cryptographic postprocessing. These results demonstrate the feasibility of using this approach for high-speed, practical quantum random number generation.