Abstract
Quantum computing is a promising field but understanding how it works can be challenging for a beginner. There are also not many educational resources to visualize and learn about quantum computing. To advance knowledge in this area, we have created QubitVR, which employs a Bloch sphere representation of a qubit, and supports trajectory visualizations and state equations in a virtual reality (VR) setting. We also conducted a multivariate cognitive walkthrough with subject matter experts (SMEs) on QubitVR to assess the effectiveness of trajectory visualizations and state equations in learning about quantum gates. The results were that trajectory visualizations aided users in understanding and learning the outcomes of quantum gate applications, while state equations did not aid users in understanding or learning the outcomes of gate applications. This implies that when designing quantum educational applications, researchers should consider focusing on visual enhancements like trajectory visualizations while avoiding mathematical representations accompanying the Bloch sphere.
Notes
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Graduation Date
2022
Semester
Spring
Advisor
McMahan, Ryan
Degree
Master of Science (M.S.)
College
College of Engineering and Computer Science
Department
Computer Science
Degree Program
Computer Science
Format
application/pdf
Identifier
CFE0009000; DP0026333
URL
https://purls.library.ucf.edu/go/DP0026333
Language
English
Release Date
May 2022
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Johnson, Pauline, "Multivariate Cognitive Walkthrough of QubitVR: An Educational Quantum Computing, Virtual Reality Application" (2022). Electronic Theses and Dissertations, 2020-. 1029.
https://stars.library.ucf.edu/etd2020/1029