Graduation Semester and Year
Spring 2024
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
Dr. Phuc VP Nguyen
Second Advisor
Dr. Yilun Xu
Third Advisor
DR. MOHAMMAD ATIQUL ISLAM
Abstract
This thesis introduces QubiCSV, a pioneering open-source platform for quantum computing field. With an emphasis on collaborative research, QubiCSV addresses the critical need for specialized data management and visualization tools in qubit control. The platform is crafted to overcome the challenges posed by the high costs and complexities associated with quantum experimental setups. It emphasizes efficient utilization of resources through shared ideas, data, and implementation strategies. One of the primary obstacles in quantum computing research has been the ineffective management of extensive calibration data and the inability to visualize complex quantum experiment outcomes effectively. QubiCSV fills this gap by offering robust data versioning capabilities for storing calibration and characterization data, essential in qubit control systems. Additionally, it enables researchers and programmers to interact with qubits in real time, enhancing their understanding and optimizing qubit performance. The platform’s advanced visualization tools are specifically tailored to interpret intricate quantum experiments, facilitating deeper insights into qubit behavior. Overall, QubiCSV stands as a significant advancement in quantum computing research, streamlining data handling and elevating user experience with intuitive visualization, thereby becoming an invaluable resource for researchers in this domain.
Keywords
quantum, qubit control, quantum data management
Disciplines
Databases and Information Systems | Hardware Systems | Software Engineering | Systems Architecture
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Brahmbhatt, Devanshu, "Development of a Collaborative Research Platform for Efficient Data Management and Visualization of Qubit Control" (2024). Computer Science and Engineering Theses. 5.
https://mavmatrix.uta.edu/cse_theses/5
Included in
Databases and Information Systems Commons, Hardware Systems Commons, Software Engineering Commons, Systems Architecture Commons