Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy
The perception that mathematics is difficult has always persisted. Nevertheless, mathematics is such an essential component of STEM education. Quantum technologies are already having enormous effects on our society, with advantages seen across a broad variety of industries, including finance, aerosp...
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Format: | Article |
Language: | English |
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MDPI AG
2022-04-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/10/7/1146 |
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author | Meng-Leong How |
author_facet | Meng-Leong How |
author_sort | Meng-Leong How |
collection | DOAJ |
description | The perception that mathematics is difficult has always persisted. Nevertheless, mathematics is such an essential component of STEM education. Quantum technologies are already having enormous effects on our society, with advantages seen across a broad variety of industries, including finance, aerospace, and energy. These innovations promise to transform our lives. Managers in the business and public sectors will need to learn quantum computing. Quantum algorithmic literacy may help increase mathematical understanding and enthusiasm. The current paper proposes that one possible approach is to present the information in a reasonably gentle but intelligible way, in order to excite individuals with the mathematics that they already know by extending them to acquiring quantum algorithmic literacy. A gentle introduction to the mathematics required to model quantum computing ideas, including linear transformations and matrix algebra, will be given. Quantum entanglement, linear transformations, quantum cryptography, and quantum teleportation will be used as examples to illustrate the usefulness of basic mathematical concepts in formulating quantum algorithms. These exemplars in quantum algorithmic literacy can help to invigorate people’s interest in mathematics. Additionally, a qualitative comparative analysis (QCA) framework is provided that teachers can utilize to determine which students to approach for remediation. This assists the teachers in dispelling any pupils’ uncertainty about mathematical concepts. |
first_indexed | 2024-03-09T11:37:51Z |
format | Article |
id | doaj.art-1d70d321cb5a4e20954d2165f33ccc60 |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-09T11:37:51Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-1d70d321cb5a4e20954d2165f33ccc602023-11-30T23:37:49ZengMDPI AGMathematics2227-73902022-04-01107114610.3390/math10071146Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic LiteracyMeng-Leong How0National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, SingaporeThe perception that mathematics is difficult has always persisted. Nevertheless, mathematics is such an essential component of STEM education. Quantum technologies are already having enormous effects on our society, with advantages seen across a broad variety of industries, including finance, aerospace, and energy. These innovations promise to transform our lives. Managers in the business and public sectors will need to learn quantum computing. Quantum algorithmic literacy may help increase mathematical understanding and enthusiasm. The current paper proposes that one possible approach is to present the information in a reasonably gentle but intelligible way, in order to excite individuals with the mathematics that they already know by extending them to acquiring quantum algorithmic literacy. A gentle introduction to the mathematics required to model quantum computing ideas, including linear transformations and matrix algebra, will be given. Quantum entanglement, linear transformations, quantum cryptography, and quantum teleportation will be used as examples to illustrate the usefulness of basic mathematical concepts in formulating quantum algorithms. These exemplars in quantum algorithmic literacy can help to invigorate people’s interest in mathematics. Additionally, a qualitative comparative analysis (QCA) framework is provided that teachers can utilize to determine which students to approach for remediation. This assists the teachers in dispelling any pupils’ uncertainty about mathematical concepts.https://www.mdpi.com/2227-7390/10/7/1146mathematics literacyquantum literacyquantum computingquantum algorithmquantum educationSTEM education |
spellingShingle | Meng-Leong How Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy Mathematics mathematics literacy quantum literacy quantum computing quantum algorithm quantum education STEM education |
title | Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy |
title_full | Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy |
title_fullStr | Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy |
title_full_unstemmed | Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy |
title_short | Advancing Multidisciplinary STEM Education with Mathematics for Future-Ready Quantum Algorithmic Literacy |
title_sort | advancing multidisciplinary stem education with mathematics for future ready quantum algorithmic literacy |
topic | mathematics literacy quantum literacy quantum computing quantum algorithm quantum education STEM education |
url | https://www.mdpi.com/2227-7390/10/7/1146 |
work_keys_str_mv | AT mengleonghow advancingmultidisciplinarystemeducationwithmathematicsforfuturereadyquantumalgorithmicliteracy |