Random numbers are important for computer encryption, lotteries, scientific modelling, and gambling. Current methods of generating random numbers can produce predictable results.

It’s quantum, it’s chaotic, it makes for a great source for a random number generator, and there are already dozens of prototype circuits around the Internet.

Quantum physics can be exploited to generate true random numbers, which have important roles in many applications, especially in cryptography. Genuine randomness from the measurement of a quantum ...

Random bit or number generators (RBGs) are crucial in Monte-Carlo simulation 1, stochastic modelling 2, the generation of classical and quantum cryptographic keys and the random initialization of ...

Randomness can be a Good Thing. If your system generates truly random numbers, it can avoid and withstand network packet collisions just one of many applications. Here's what you need to know about ...

The best we can do is to generate long sequences that have some of the key properties of random numbers. The programs that do this are called pseudo-random number generators.

In the Swiss experiment, the camera was used to create a 1.25 Gbit/s stream of random numbers. One worry about any random-number generator is that the numbers could be influenced in a predictable way ...

That means that even if some enemy understands everything about how the random number generator works, they still can’t predict the outcome.