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Teaching Quantum Computing to High-School-Aged Youth: A Hands-On Approach

Authors :
Prashanti Priya Angara
Ulrike Stege
Andrew MacLean
Hausi A. Muller
Tom Markham
Source :
IEEE Transactions on Quantum Engineering, Vol 3, Pp 1-15 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

Quantum computing is aninterdisciplinary field that lies at the intersection of mathematics, quantum physics, and computer science, and finds applications in areas including optimization, machine learning, and simulation of chemical, physical, and biological systems. It has the potential to help solve problems that so far have no satisfying method solving them, and to provide significant speedup to solutions when compared with their best classical approaches. In turn, quantum computing may allow us to solve problems for inputs that so far are deemed practically intractable. With the computational power of quantum computers and the proliferation of quantum development kits, quantum computing is anticipated to become mainstream, and the demand for a skilled workforce in quantum computing is expected to increase significantly. Therefore, quantum computing education is ramping up. This article describes our experiences in designing and delivering quantum computing workshops for youth (Grades 9–12). We introduce students to the world of quantum computing in innovative ways, such as newly designed unplugged activities for teaching basic quantum computing concepts. We also take a programmatic approach and introduce students to the IBM Quantum Experience using Qiskit and Jupyter notebooks. Our contributions are as follows. First, we present creative ways to teach quantum computing to youth with little or no experience in science, technology, engineering, and mathematics areas; second, we discuss diversity and highlight various pathways into quantum computing from quantum software to quantum hardware; and third, we discuss the design and delivery of online and in-person motivational, introductory, and advanced workshops for youth.

Details

Language :
English
ISSN :
26891808 and 39789829
Volume :
3
Database :
Directory of Open Access Journals
Journal :
IEEE Transactions on Quantum Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.0c97ecc71834dc3bdf397898293b04d
Document Type :
article
Full Text :
https://doi.org/10.1109/TQE.2021.3127503