QGrover: Teaching Grover's Algorithm Through Visual Exploration
Quantum Computing is a rapidly growing field that requires a multidisciplinary workforce. In order to successfully educate this up-and-coming workforce, it is crucial that Quantum Computing Education is filled with a variety of tools that support different backgrounds and learning styles. Incorporating visual exploration into learning allows for the use of multiple learning channels and can promote collaborative learning. We present QGrover, an interactive visualization tool that supports the learning of Grover's algorithm, an important quantum search algorithm. QGrover is a browser-based tool that allows users to examine the different components of Grover's algorithm while exploring experimentally how different parameters affect it. We also present sample questions for using QGrover in a classroom setting. Sample answers for the questions are included with the questions.
Authors
- Ulrike Stege (ORCID: https://orcid.org/0000-0001-9466-7196)
- Anthony Estey
- Hausi Müller (ORCID: https://orcid.org/0000-0002-1004-5830)
- Samantha Norrie
Institutions
- University of Victoria (CA)
Publication Details
- Published
- 2024-09-15
- DOI
- https://doi.org/10.1109/qce60285.2024.20454
- Citations
- 2
- Primary Topic
- History and Theory of Mathematics
- Type
- article
- Field-Weighted Citation Impact
- 14.37
Funders
- University of Victoria