Blair, Enrique Pacis.McCabe, Heath2019-05-232019-05-232019-05-032019-05-23https://hdl.handle.net/2104/10594Quantum-dot Cellular Automata (QCA) provides a viable low-power alternative to conventional implementations of classical computing machines. QCA cells with no biasing voltage will yield a “1” or a “0” with a 50% chance of being “1” and 50% chance of being “0” upon measurement. Applying a bias voltage to a QCA cell allows this probability to be tuned such that the probability of measuring a “1” could range anywhere from 0 to 1. Many applications benefit from equal probabilities of measuring “0” or “1,” but some applications such as stochastic computing require having an adjustable probability of measurement outcomes. Performing a series of measurements can be used to serially create a random number of any desired size. Thus, tuning the probability of a QCA cell can be used as an implementation for random number generation. Furthermore, this system is suitable for applications in which zero outcome bias is desired, or a specific and dynamically-tunable bias is desired. We discuss the quantum mechanics of random number generation using a QCA cell, as well as different physical implementations for a QCA random number generator.en-USBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.EngineeringElectrical EngineeringRandom Number GenerationRNGQuantum-dot Cellular AutomataQCAThesisWorldwide access