Many popular random number generators (RNGs) are based on classical computer algorithms and have the advantage of being fast and easy to implement. The best examples pass many statistical tests ...

To simulate chance occurrences, a computer can’t literally toss a coin or roll a die. Instead, it relies on special numerical recipes for generating strings of shuffled digits that pass for random ...

Randomness is incredibly useful. People often draw straws, throw dice or flip coins to make fair choices. Random numbers can enable auditors to make completely unbiased selections. Randomness is also ...

Chip-based device paves the way for scalable and secure random number generation, an essential building block for future digital infrastructure Chip-based device paves the way for scalable and secure ...

A team including CU PREP researchers and scientists from CU Boulder and NIST have built the first random number generator using quantum entanglement to produce verifiable random numbers. Dubbed CURBy, ...