Speaker
Dmitriy Beznosko
(Clayton State University)
Description
Hardware random number generators (HRNG) are widely used in the computer world for security purposes as well as in the science world as a source of the high-quality randomness for the models and simulations. Currently existing HRNG are either costly or very slow and of questionable quality. This work proposes a simple design of the HRNG based on the low-number photon absorption by a detector (a photo-multiplier tube of a silicon-based one i.e. SiPM, MPPC, etc.) that can provide a large volume of high-quality random numbers. The prototype design, different options of processing and the testing of quality of the generator output are presented.
Alternate track | 14. Computing, AI and Data Handling |
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I read the instructions above | Yes |
Author
Dmitriy Beznosko
(Clayton State University)
Co-author
Mr
Nikolas Thornton
(Clayton State University)