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Quantum Machine Learning Quantum Chemistry

Quantum cryptography visualized: assessing visual attention on multiple representations with eye tracking in an AR-enhanced quantum cryptography student experiment

arXiv
Authors: David Dzsotjan, Atakan Coban, Christoph Hoyer, Stefan Küchemann, Jürgen Durst, Anna Donhauser, Jochen Kuhn

Year

2024

Paper ID

37527

Status

Preprint

Abstract Read

~2 min

Abstract Words

96

Citations

N/A

Abstract

With the advent and development of real-world quantum technology applications, a practically-focused quantum education including student quantum experiments are gaining increasing importance in physics curricula. In this paper, using the DeFT framework, we present an analysis of the representations in our AR-enhanced quantum cryptography student experiment, in order to assess their potential for promoting conceptual learning. We also discuss learner visual attention with respect to the provided multiple representations based on the eye gaze data we have obtained from a pilot study where N=38 students carried out the tasks in our AR-enhanced quantum cryptography student experiment.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • With the advent and development of real-world quantum technology applications, a practically-focused quantum education including student quantum experiments are gaining...

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2410.21975 [2] arXiv https://arxiv.org/abs/2410.21975 [3] Publisher https://arxiv.org/abs/2410.21975

Local Citation Graph (Related-Paper Links)

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