WASHINGTON — Researchers have developed a chip-based quantum random number generator that provides high-speed, high-quality operation on a miniaturized platform. This advance could help move quantum ...

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 ...

Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Very little in this life is truly random. A coin flip is influenced ...

National Institute of Standards and Technology (NIST) scientists have created the first random number generator that uses quantum entanglement, providing traceable and certifiable confirmation that ...

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, ...

If your name gets picked for jury duty, it’s because a computer used a random number generator to select it. The same goes for tax audits or when you opt for a quick pick lottery ticket. But how can ...

Summary: Random numbers help us secure everything from bank accounts to classified servers. And yet, that essential layer of security can be spoofed. New research from the Oak Ridge National ...

Quick! Think of a number between 1 and 10…was it 7? If it was, don't feel too bad, as human brains are notoriously bad at both true randomness and understanding probability. Even if you're too ...

A new network paradigm can generate meaningfully random numbers—and fast. In network encryption, randomness has huge value because it’s not “solvable” by hackers. Classical computers can’t be ...

PRNGs are algorithms that produce sequences of numbers that only approximate true randomness. While they are suitable for applications like simulations or modeling, they are not appropriate for ...