TY - GEN
T1 - Building Knowledge Capacity for Quantum Computing in Engineering Education
AU - Carberry, Deborah
AU - Nourbakhsh, Amirhossein
AU - Karon, Jay
AU - Jones, Mark N.
AU - Jadidi, Mojgan
AU - Shahriari, Kyarash
AU - Beenfeldt, Christian
AU - Andersson, Martin Peter
AU - Mansouri, Seyed Soheil
PY - 2021
Y1 - 2021
N2 - The Quantum industry is currently at an embryonic stage. If it is to grow, it will require new markets, and, a workforce with the requisite skills and knowledge to support it. Anticipating this potential growth, this paper will explore capacity building within engineering education on the subject of Quantum Computing (QC). This work has two aims. On the one hand, it seeks to illustrate the need for developing education on the subject, inferred by trends in open literature. On the other hand, it seeks to suggest a starting point for quantum computing education in higher education. Since 2018, a sharp incline can be observed in the number of publications on topics related to QC. These publications are arising within several fields related to engineering including, but not limited to, material science, chemistry and computer science. In response to this trend, this paper will evaluate several third party educational approaches to teaching emergent technologies with a view to developing a model for teaching QC. Due to a lack of precedent in a wide range of industry applications and the current limitations in the state-of-the-art of this technology, the educational model proposed will be one that exploits imagination, as opposed to knowledge acquisition, in the pursuit of new knowledge building.
AB - The Quantum industry is currently at an embryonic stage. If it is to grow, it will require new markets, and, a workforce with the requisite skills and knowledge to support it. Anticipating this potential growth, this paper will explore capacity building within engineering education on the subject of Quantum Computing (QC). This work has two aims. On the one hand, it seeks to illustrate the need for developing education on the subject, inferred by trends in open literature. On the other hand, it seeks to suggest a starting point for quantum computing education in higher education. Since 2018, a sharp incline can be observed in the number of publications on topics related to QC. These publications are arising within several fields related to engineering including, but not limited to, material science, chemistry and computer science. In response to this trend, this paper will evaluate several third party educational approaches to teaching emergent technologies with a view to developing a model for teaching QC. Due to a lack of precedent in a wide range of industry applications and the current limitations in the state-of-the-art of this technology, the educational model proposed will be one that exploits imagination, as opposed to knowledge acquisition, in the pursuit of new knowledge building.
KW - Education
KW - Emergent Technologies
KW - Quantum Computing
KW - Engineering
U2 - 10.1016/B978-0-323-88506-5.50319-3
DO - 10.1016/B978-0-323-88506-5.50319-3
M3 - Article in proceedings
T3 - Computer Aided Chemical Engineering
SP - 2065
EP - 2070
BT - Proceedings of the 31th European Symposium on Computer Aided Process Engineering (ESCAPE30)
A2 - Türkay, Metin
A2 - Gani, Rafiqul
PB - Elsevier
CY - Amsterdam
T2 - 31<sup>st</sup> European Symposium on Computer Aided Process Engineering
Y2 - 6 June 2021 through 9 June 2021
ER -