Introduction
Classical pseudo-random number generation runs a pseudo-random number generator (PRNG) on a classical machine that pseudo-randomly samples numbers from a space given an input seed.
Outline
N/A
Assumptions
The distribution of the numbers output from is sufficiently statistically close to random.
Notation
No content has been added to this section, yet!
Properties
No content has been added to this section, yet!
Technical description
Not added
Further information
No content has been added to this section, yet!
References
N/A
Leave a Reply