Quantum computing is not merely an incremental advancement in computing technology; it represents a fundamentally new paradigm, distinct from classical computing. Rooted in quantum mechanics, it introduces an entirely novel information theory. As a result, translating existing models, solution designs, and approaches to quantum computing is a complex, non-trivial task. This comprehensive book demystifies quantum concepts through accessible explanations, practical case studies, and real-world examples from industries such as aerospace, agriculture, automotive, chemicals, energy, finance, government, healthcare, manufacturing, supply chain, and telecommunications.
Blending a business perspective with a scientific rigor, this book is divided into two parts. The first part covers foundational technical concepts, including quantum mechanics principles that enable quantum technologies, key quantum algorithms, mathematical frameworks, quantum computing technologies, post-quantum cryptography, the types of problems quantum computers solve, and the technology’s outlook. The second part focuses on practical applicability, presenting industry use cases, guidance on approaching quantum computing problems, mapping use cases to quantum computing, responsible quantum computing practices, and a roadmap for businesses preparing for quantum adoption. This structured approach equips readers with the knowledge and tools to effectively integrate quantum computing into their strategic planning.
Quantum Computing Strategy: Foundations and Applicability serves as an essential reference for technology enthusiasts, business leaders, policymakers, and educators seeking to understand the benefits quantum computing offers enterprises. Designed as a self-contained learning resource, it empowers readers to navigate the emerging quantum landscape confidently.
Quantum Computing Strategy: Foundations and Applicability is an essential reference for technology enthusiasts, business leaders, policymakers, and educators seeking to understand the benefit quantum computing brings for enterprises. It is designed to be a self-contained learning resource.
Section I Foundations
Chapter 1 ◾ Key Concepts
Chapter 2 ◾ Quantum Computers Overview
Chapter 3 ◾ Quantum Programming
Chapter 4 ◾ Quantum Algorithms Overview
Chapter 5 ◾ Algorithm Foundations
Chapter 6 ◾ Applied Algorithms
Chapter 7 ◾ Problem Categorization
Chapter 8 ◾ Quantum Computing Risk
Chapter 9 ◾ Technology Adoption Outlook
Section II Applicability
Chapter 10 ◾ Aerospace
Chapter 11 ◾ Agriculture
Chapter 12 ◾ Automotive
Chapter 13 ◾ Chemicals
Chapter 14 ◾ Energy
Chapter 15 ◾ Finance
Chapter 16 ◾ Government
Chapter 17 ◾ Healthcare Life Sciences
Chapter 18 ◾ Manufacturing
Chapter 19 ◾ Supply Chain
Chapter 20 ◾ Telecommunications
Chapter 21 ◾ Use Case Problem Mapping
Chapter 22 ◾ How to Get Quantum Ready
Chapter 23 ◾ Responsible Technology Use
Produktdetaljer
Om bidragsyterne
Elena Yndurain is a high-tech executive and professor with expertise in operationalizing innovation. She holds a Ph.D. and M.Sc. in Telematics Engineering focused on Artificial Intelligence, as well as an Executive MBA and a B.Sc. in Computer Science and Mathematics. With extensive international experience in consulting, technology, and banking, she has successfully launched numerous technology products. She was a pioneer in teaching quantum computing to business executives. Most recently, she served as the European CEO of a quantum computing software startup and is an active member of international advisory boards focused on technology governance.