Random numbers are a basic ingredient of simulation algorithms and cryptography, and
play a significant part in computer simulation and information processing. One prominent …

Quantum random numbers play a crucial role in diverse applications, including
cryptography, simulation, and artificial intelligence. In contrast to predictable algorithm …

Random numbers are a fundamental ingredient in fields such as simulation, modeling, and
cryptography. Good random numbers should be independent and uniformly distributed …

Quantum random numbers have an incomparable advantage over pseudo-random numbers
since randomness originates from intrinsic property of quantum mechanics. The generation …

Random numbers are a valuable component in diverse applications that range from
simulations over gambling to cryptography,. The quest for true randomness in these …

As a fundamental phenomenon in nature, randomness has a wide range of applications in
the fields of science and engineering. Among different types of random number generators …

The entropy or randomness source is an essential ingredient in random number generation.
Quantum random number generators generally require well modeled and calibrated light …

Quantum random number generators (QRNGs) are based on naturally random
measurement results performed on individual quantum systems. Here, we demonstrate a …

A quantum random number generator (QRNG) can generate true randomness by exploiting
the fundamental indeterminism of quantum mechanics. Most approaches to QRNG employ …

Fast secure random number generation is essential for high-speed encrypted
communication, and is the backbone of information security. Generation of truly random …