Quantum Technology Applications, Impact, and Future Challenges
Author: Chapter authors (independent)
Quantum Technology Applications, Impact, and Future Challenges brings together scientific and practical perspectives on the current state and future development of quantum technologies. Its primary focus is quantum computing, including its hardware and software capabilities and the opportunities it may create across different industries. Through a combination of theoretical discussions and practical examples, the book examines the current technological landscape and the challenges associated with developing and deploying quantum systems. A substantial part of the book explores quantum computing applications in sectors such as energy, finance, healthcare, and logistics. These discussions address the potential of quantum computing for solving complex problems, optimisation, and data analysis. The book also examines the state of quantum hardware and software and the limitations that affect the development of practical quantum systems. Topics such as quantum machine learning and quantum communications are also included. The book further considers the broader implications of quantum technologies and the challenges that may shape their future. Technical limitations, infrastructure requirements, development and commercialisation barriers, and potential effects on businesses and society are among the issues discussed. Overall, it connects scientific progress with industrial applications and the economic and societal implications of quantum technologies, providing researchers and industry professionals with an application-oriented perspective.
Read the introduction- Pages
- 204
- Language
- انگلیسی
- Reading level
- Intermediate
About the book
Quantum Technology Applications, Impact, and Future Challenges brings together scientific and practical perspectives on the current state and future development of quantum technologies. Its primary focus is quantum computing, including its hardware and software capabilities and the opportunities it may create across different industries. Through a combination of theoretical discussions and practical examples, the book examines the current technological landscape and the challenges associated with developing and deploying quantum systems.
A substantial part of the book explores quantum computing applications in sectors such as energy, finance, healthcare, and logistics. These discussions address the potential of quantum computing for solving complex problems, optimisation, and data analysis. The book also examines the state of quantum hardware and software and the limitations that affect the development of practical quantum systems. Topics such as quantum machine learning and quantum communications are also included.
The book further considers the broader implications of quantum technologies and the challenges that may shape their future. Technical limitations, infrastructure requirements, development and commercialisation barriers, and potential effects on businesses and society are among the issues discussed. Overall, it connects scientific progress with industrial applications and the economic and societal implications of quantum technologies, providing researchers and industry professionals with an application-oriented perspective.
How this book helps
Exploring quantum computing applications in energy systems and smart grids.
Studying quantum approaches to optimisation problems in energy systems.
Examining quantum computing applications in transportation, logistics, and traffic management.
Exploring quantum machine learning algorithms and methods.
Studying hybrid quantum-classical computing architectures.
Understanding quantum data centres and quantum cloud infrastructure.
Examining cloud-based quantum computing service models.
Exploring quantum technologies in business and digital transformation.
Understanding the cybersecurity implications of quantum computing and the need for post-quantum cryptography.
Evaluating commercial opportunities and limitations in quantum technology adoption.
What you will learn
Recognise major quantum computing hardware and software architectures.
Explain quantum computing applications in energy and other industries.
Understand quantum optimisation problems and related algorithms.
Become familiar with quantum machine learning fundamentals and tools.
Describe classical, quantum, and hybrid computing architectures.
Understand quantum cloud infrastructure and quantum data centres.
Identify potential quantum computing applications in transportation and logistics.
Explain the cybersecurity implications of quantum computing and the importance of post-quantum cryptography.
Evaluate technical and implementation challenges in quantum technology development and commercialisation.
Analyse the opportunities and limitations of quantum technology adoption in business.
Contributors
- Author
- Chapter authors (independent)
- Editor
- Mohammad Hammoudeh, Clinton M. Firth, Harbaksh Singh, Christoph Capellaro, Mohamed Al Kuwaiti
Publication and reading details
- Publisher
- CRC Press, part of the Taylor & Francis Group
- Published
- 2025
- Language
- انگلیسی
- Pages
- 204
- Print run
- 1
- Format
- Text
- Reading level
- Intermediate
- Category
- Quantum Policy and Governance
Book identifiers
- ISBN
- 9781032883267