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Updated: May 19, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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Published on: September 8, 2023

Towards metaphors for quantum computational thinking.

Caiseal Beardow1, Pieter Jan Stappers1

  • 1Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, Delft, 2628CE Zuid-Holland The Netherlands.

EPJ Quantum Technology
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

The quantum computing industry needs more skilled workers. This study explores using metaphors to teach quantum computing concepts, aiming to develop

Keywords:
Computational thinkingExpert ratingMetaphorsQuantum computingQuantum education

Related Experiment Videos

Last Updated: May 19, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Quantum Computing Education
  • Computational Thinking
  • Pedagogical Metaphors

Background:

  • The quantum computing industry faces a significant labor gap due to a shortage of skilled professionals.
  • Existing educational approaches may not adequately bridge the gap between quantum principles and computing practices.

Purpose of the Study:

  • To investigate the use of metaphors as a pedagogical tool for teaching quantum computing.
  • To develop and assess metaphors that support the cultivation of 'quantum computational thinking'.

Main Methods:

  • Conducted interviews with quantum computing experts to elicit metaphors.
  • Identified and synthesized metaphorical models from expert interviews.
  • Assessed metaphors using expert ratings and qualitative analysis.

Main Results:

  • A collection of metaphors currently used in quantum computing education was gathered and analyzed.
  • Metaphors were assessed for their effectiveness in supporting quantum computational thinking.
  • Specific recommendations for developing improved metaphors were identified.

Conclusions:

  • Metaphors can be effective pedagogical tools for teaching quantum computing.
  • Developing better metaphors requires emphasizing computational roles, conceptual connections, and tangible imagery.
  • This approach can help address the quantum computing labor gap by improving education.