Transformer models classify random numbers

arXiv:2405.03904v1 Announce Type: new
Abstract: Random numbers are incredibly important in a variety of fields, and the need for their validation remains important. A Quantum Random Number Generator (QRNG) can theoretically generate truly random numbers however this does not remove the need to thoroughly test their randomness. Generally, the task of validating random numbers has been delegated to different statistical tests such as the tests from the NIST Statistical Test Suite (STS) which are often slow and only perform one …

abstract arxiv cs.lg fields generate generator however numbers quantum random randomness test transformer transformer models type validation