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Quantum Machine Learning

Teaching Quantum Informatics at School: Computer Science Principles and Standards

arXiv
Authors: Giulia Paparo, Regina Finsterhoelzl, Bettina Waldvogel, Mareen Grillenberger

Year

2024

Paper ID

65297

Status

Preprint

Abstract Read

~2 min

Abstract Words

107

Citations

N/A

Abstract

The application of knowledge from quantum physics to computer science, which we call \doubleq{quantum informatics}, is driving the development of new technologies, such as quantum computing and quantum key distribution. Researchers in physics education have recognized the promise and significance of teaching quantum informatics in schools, and various teaching methods are being developed, researched and applied. Although quantum informatics is equally relevant to computer science education, little research has been done on how to teach it with a focus on computer science concepts and knowledge. In this study, we position quantum informatics within Denning's Great Principles of Computing and propose Quantum Informatics Standards for secondary schools.

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  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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  • The application of knowledge from quantum physics to computer science, which we call doubleqquantum informatics, is driving the development of new technologies, such as quantum...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2407.12340 [2] arXiv https://arxiv.org/abs/2407.12340 [3] Publisher https://arxiv.org/abs/2407.12340

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