Скачать или смотреть Windows Forms .NET test harness to dynamically generate a matrix consisting of true random numbers.

Test Harness for the random number generator hardware.

What is a random number?
Random Numbers are numbers you can’t guess or predict by any algorithm. A measurement of something naturally random is required to produce a random number. Random numbers are also described as true, truly, hardware, non-deterministic, or quantum.

Why do we need random numbers?
Random numbers are used to make codes to transfer private messages or money without danger of eavesdropping or theft. They are also used to make “random” selections, such as lottery numbers and all sorts of drawings.

What is a pseudo-random number?
Pseudo-random numbers, meaning artificial or random in appearance only, are produced by a computer program to simulate unpredictability. Pseudo-random numbers are often used in place of true random numbers because they are easier to produce and they can be made very hard to predict.

What is Entropy?
Entropy exists in a physically unpredictable property or process measured to produce random numbers. On a scale from 0 to 1, it indicates how unpredictable the generated random number is. A True random number has an entropy of 1.0, while a pseudo-random number has real entropy of 0.0

The quality of random numbers is determined both from understanding the theory of how they are made and by applying statistical testing algorithms. Statistical tests always look for patterns in a string of numbers. The more pronounced any patterns are found to be, the more predictable (less random) are the numbers.

The Windows software version 3.6.0 provided below for hardware Models PQ4000KS, PQ32MS, PQ128MS, and CS128M is the complete installation package. Documentation includes program examples in various languages to illustrate how the generators are interfaced and operated. These files may be downloaded and viewed prior to purchasing.
QWQNG.QNG 3.6 API