Saudi Research Institutes Develop Fastest Quantum Random Number Generator For Enhanced Data Security
A team of researchers from King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) has developed the fastest quantum random number generator (QRNG) to date. This QRNG, which meets the randomness standards set by the National Institute of Standards and Technology, generates random numbers nearly a thousand times faster than existing models.
Random number generators are crucial for sectors like health, finance, and defense that rely on data security. Traditional generators often use complex algorithms that appear random but can be solved. In contrast, QRNGs use quantum mechanics principles to produce genuinely unpredictable numbers. "Most random number generators are ‘pseudo random number generators.’ In other words, they seem random, but in reality, they are complicated algorithms that can be solved. QRNGs do not suffer from this concern," explained KAUST Professor Boon Ooi.

The new QRNG's high generation rate results from innovations in device fabrication and post-processing algorithms. The device uses micro-LEDs smaller than a few micrometers, reducing energy needs and enhancing portability. This advancement could broaden the range of applications for QRNGs.
KACST plays a vital role as a national laboratory in advancing applied research aligned with Saudi Arabia’s Vision 2030 goals. Dr. Abdullah Almogbel, a researcher at KACST's Microelectronics and Semiconductors Institute, stated that such initiatives aim to establish global leadership in strategic sectors like quantum-enabled innovations. "KACST, in its capacity as the national laboratory, is committed to advancing applied research that directly supports the objectives of Saudi Arabia’s Vision 2030 — particularly in establishing global leadership across strategic sectors, including quantum-enabled innovations," said Dr. Almogbel.
The National Institute of Standards and Technology provides internationally recognized benchmarks for assessing randomness quality. This ensures that the QRNG developed by KAUST and KACST meets global standards for security applications.
This breakthrough represents a significant advancement for industries reliant on robust data security measures. "This is a significant leap for any industry that depends on strong data security," said Professor Ooi about their study published in Optics Express.
With inputs from SPA