Abstract

Quantum technologies and computing are an emerging area which offers a new paradigm to solve complex problems using the principles of quantum mechanics, where classical computing faces limits. Due to the advantages of quantum computers, today, there are several industries focusing on different aspects of quantum technologies based on their physics to explore the most efficient and useful platform for implementing applications. Since the scope of the quantum companies is diverse, it is important to understand the education, skills, and qualifications required for different job roles, as this will aid global educational institutions in constructing concentrated disciplines in this field. This paper provides a detailed critical analysis of different job descriptions for education, skills and qualifications. Most of the qubit modalities, such as superconducting, semiconducting, topological, nitrogen-vacancy centres, ion-traps, neutral atoms, and photonics, have been covered. Additionally, quantum software domains such as quantum machine learning, cryptography and error corrections have been discussed with fields such as quantum sensors and metrology. Finally, based on the patterns, recommendations are given to enable better preparation of skills and infrastructure for educational institutes and individuals who would like to pursue a career in the field of quantum technologies.

Details

Title
Mapping quantum industry demands to education: a critical analysis of skills, qualifications, and modalities
Author
Devendrababu, Shalini 1 ; Ganguly, Srinjoy 2 ; Hemachandran, Kannan 3 

 Fractal Analytics, Quantum AI Lab, Gurugram, India 
 University College London, Department of Physics and Astronomy, London, United Kingdom (GRID:grid.83440.3b) (ISNI:0000 0001 2190 1201) 
 Woxsen University, AI Research Centre, Hyderabad, India (GRID:grid.83440.3b) 
Pages
105
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
e-ISSN
21960763
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3244970315
Copyright
© The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.