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Quantum Machine Learning
A brief overview of programmed instructions for quantum software education
arXiv
Authors: Richard A. Wolf, Sho Araiba
Year
2023
Paper ID
52545
Status
Preprint
Abstract Read
~2 min
Abstract Words
120
Citations
N/A
Abstract
In this paper we provide an overview of the programmed instructions approach for the purpose of quantum software education. The article presents the programmed instructions method and recent successes in STEM fields before describing its operating mode. Elements tackled include the core components of programmed instructions, its behavioural roots and early use as well as adaptation to complex STEM material. In addition, we offer recommendations for its use in the specific context of quantum software education and provide one example of PI-based instruction for the notion of entanglement. The aim of this work is to provide high-level guidelines for incorporating programmed instructions in quantum education with the goal of disseminating quantum skills and notions more efficiently to a wider audience.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2023 reference point for readers tracking recent quantum research.
- In this paper we provide an overview of the programmed instructions approach for the purpose of quantum software education.
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