Date of Award
Fall 1-2-2026
Document Type
Thesis
Degree Name
Master of Arts (MA)
Department
Physics and Astronomy
First Advisor
Mark Hillery
Second Advisor
János Bergou
Academic Program Adviser
Mark Hillery
Abstract
Quantum computing is revolutionizing computational science, offering fundamentally new approaches to information processing that surpass classical limitations. One of the most versatile and powerful tools in this emerging field is quantum walks. Quantum walks are quantum analogs of classical random walks that leverage superposition and interference to explore complex spaces efficiently.
This thesis will explore how discrete-time scattering quantum walks can be simulated and analyzed to investigate patterns of secure data access. By modeling quantum walks on a variety of graph structures and studying the dynamics of marked vertices, the project aims to demonstrate how quantum interference and graph topology affect the discoverability and retrieval of information.
The work will involve the development of a simulation tool using Python with visualization capabilities, enabling a comparative analysis of quantum versus classical access dynamics. The results will shed light on how quantum walk behavior could inform the design of secure data systems and contribute to broader research in quantum computation and information science.
Recommended Citation
Janjua, Arslan Ahmad, "Simulation of Quantum Walks for Secure Data Access Patterns" (2026). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/1430
