Dissertations, Theses, and Capstone Projects
Date of Degree
2-2023
Document Type
Dissertation
Degree Name
Ph.D.
Program
Physics
Advisor
David Schwab
Committee Members
John Terilla
Tai-Danae Bradley
Vladimir Rosenhaus
Vadim Oganesyan
Subject Categories
Other Physics | Quantum Physics
Keywords
Tensor networks, quantum physics, natural language processing, machine learning, AI
Abstract
This dissertation consists of six chapters. . . Chapter 1: We introduce language modeling, outline the software used for this thesis, and discuss related work. Chapter 2: We will unpack the transition from classical to quantum probabilities, as well as motivate their use in building a model to understand language-like datasets. Chapter 3: We motivate the Motzkin dataset, the models we will be investigating, as well as the necessary algorithms to do calculations with them. Chapter 4: We investigate our models’ sensitivity to various hyperparameters. Chapter 5: We compare the performance and robustness of the models. Chapter 6: We conclude by distilling the results of the previous chapters, and include a look at possible future work. Appendix: An overview of useful variable names for quick referenc
Recommended Citation
van der Poel, Constantijn, "A Quantum Approach to Language Modeling" (2023). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/5244