PERC 2022 Abstract Detail Page
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| Abstract Title: | Quantum Technology Learning Toolbox (QTecBox) |
|---|---|
| Abstract Type: | Contributed Poster Presentation |
| Abstract: | We developed a number of digital tools to support teaching quantum mechanics. The idea behind that is main concepts of quantum mechanics are non-intuitive to an uninitiated student due to the lack of daily experience with quantum mechanics: The basis of intuition is experience. Therefore, teaching quantum mechanics with a support of numerical experiments for all main topics of quantum mechanics, responsible for quantum technology applications, appears to be essential for an efficient and quick learning process. The numerical experiments are prepared using PYTHON computer codes and a graphical interface. Students and instructors can use the graphical interface to change parameters of the suggested numerical experiments or they can download, modify and run the codes on their personal computers. Finally, a website, gathering overall numerical experiments, was designed. This Quantum Technology Learning Toolbox can be used by universities and institutions in their different educations. |
| Session Time: | Poster Session 1 |
| Poster Number: | I-7 |
Author/Organizer Information | |
| Primary Contact: |
Ayouz Mehdi Centralesupélec Paris, Non U.S. |
| Co-Author(s) and Co-Presenter(s) |
Kokoouline (Viatcheslav), University of Central Florida |
