Publication Type
Book Chapter
Version
acceptedVersion
Publication Date
10-2021
Abstract
In this chapter, we consider which general business problems may be suitable for exploring the utilization of quantum computing and provide a framework for applying quantum computing. The characteristics of quantum computing systems are mapped into business problems to show the potential advantages of quantum computing. The framework shows how quantum computing can be applied in general, and a use case is offered for quantum machine learning (QML) related to the credit ratings of small and medium-size enterprises (SMEs).
Keywords
Business needs, computational approach, credit rating, financial services, industry applications, problem-solving perspective, quantum computing, quantum machine learning (QML) service industries, Society 5.0, technology foundations.
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Information Systems and Management
Publication
Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0
Editor
K. Taneja, H.Taneja, K. Kumar, A. Selwal, & E. L.Ouh
First Page
1
Last Page
32
ISBN
9781003132080
Identifier
10.1201/9781003132080-1
Publisher
CRC Press
City or Country
Boca Raton
Citation
GRIFFIN, Paul R.; BOGUSLAVSKY, Michael; HUANG, Junye; KAUFFMAN, Robert J.; and TAN, Brian R..
Quantum computing: Computational excellence for Society 5.0. (2021). Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0. 1-32.
Available at: https://ink.library.smu.edu.sg/sis_research/6851
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1201/9781003132080-1