Quantum-dot Cellular Automata as an Implementation for Random Number Generation

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dc.contributor.advisorBlair, Enrique Pacis.
dc.contributor.authorMcCabe, Heath
dc.contributor.departmentElectrical and Computer Engineering.en_US
dc.date.accessioned2019-05-23T14:15:33Z
dc.date.available2019-05-23T14:15:33Z
dc.date.copyright2019-05-03
dc.date.issued2019-05-23
dc.description.abstractQuantum-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_US
dc.identifier.urihttps://hdl.handle.net/2104/10594
dc.language.isoen_USen_US
dc.rightsBaylor 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.en_US
dc.rights.accessrightsWorldwide accessen_US
dc.subjectEngineeringen_US
dc.subjectElectrical Engineeringen_US
dc.subjectRandom Number Generationen_US
dc.subjectRNGen_US
dc.subjectQuantum-dot Cellular Automataen_US
dc.subjectQCAen_US
dc.titleQuantum-dot Cellular Automata as an Implementation for Random Number Generationen_US
dc.typeThesisen_US

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