Quantum Computing Strategy

Foundations and Applicability

Elena Yndurain

$273

Hardback

Forthcoming
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English

Chapman & Hall/CRC
17 March 2025

Business & management; Applied mathematics; Quantum physics (quantum mechanics & quantum field theory); Computing: general; Mathematical theory of computation

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.

By: Elena Yndurain
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 600g
ISBN: 9781032299143
ISBN 10: 1032299142
Pages: 206
Publication Date: 17 March 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Forthcoming

Section I: Foundations Chapter 1: Key Concepts 1.1 Quantum Information 1.2 Quantum Properties 1.3 Mathematical Definitions Chapter 2: Quantum Computers Overview 2.1 Analog and Digital Quantum Computers 2.2 Quantum Computer Simulators 2.3 Qubit Modalities Definitions 2.4 Different Qubit Topology Chapter 3: Quantum Programming 3.1 Circuits Definition 3.2 Gates Functioning 3.3 Circuit Requirements 3.4 Programming Tools Chapter 4: Quantum Algorithms Overview 4.1 Hybrid Approach 4.2 Software Approach 4.3 Hardware Approach 4.4 Quantum Inspired Algorithms 4.5 Algorithm Performance 4.6 Algorithm Noise Chapter 5: Algorithms Foundations 5.1 Grover Unstructured Search 5.2 Shor Number Factorization 5.3 Deutsch–Jozsa Oracle 5.4 Bernstein–Vazirani Decode 5.5 Harrow–Hassidim–Lloyd Linear Solvers 5.5 Quantum Metropolis Equilibrium Chapter 6: Applied Algorithms 6.6 Variational Quantum Eigensolver (VQE) 6.7 Quantum Amplitude Estimation (QAE) 6.8 Quantum Approximate Optimization Algorithm (QAOA) 6.9 Quadratic Unconstrained Binary Optimization (QUBO) 6.10 Quantum Differential Equation (QDE) 6.11 Quantum artificial intelligence (QAI) 6.12 Algorithms Interrelation Chapter 7: Problem Categorization 7.1 Chemical Processes 7.2 Objective Optimization 7.3 Probabilistic Simulation 7.4 Artificial Intelligence Chapter 8: Quantum Computing Risk 8.1 Quantum Cryptographic Schemes 8.2 Quantum-secure Cryptography QKD 8.3 Post-quantum cryptography algorithms 8.4 Quantum Safety Strategy Plan 8.5 Security Use Cases Chapter 9: Technology Adoption Outlook Section II: Applicability Chapter 10: Aerospace 10.1 Use Case: Engine Design 10.2 Use Case: Air Cargo Load 10.3 Use Case: Irregular Operations 10.4 Use Case: Flight Climb Chapter 11: Agriculture 11.1 Use Case: Efficient Fertilizers 11.2 Use Case: Seed Biology 11.3 Use Case: Weather Forecast 11.4 Use Case: Improved Crop Yield Chapter 12: Automotive 12.1 Use Case: EV Batteries / Fuel cells 12.2 Use Case: Transport Routing Flow 12.3 Use Case: Object Detection 12.4 Use Case: Aerodynamic Design Chapter 13: Chemicals 13.1 Use Case: Understanding molecular properties 13.2 Use Case: Design of Aggregates 13.3 Use Case: Crystal Structure 13.4 Use Case: Chemical Reactions Catalysts Chapter 14: Energy 14.1 Use Case: Reservoir Simulation 14.1 Use Case: Energy Unit Commitment 14.2 Use Case: Smart-grid Operation 14.3 Use Case: Gas Turbine Design Chapter 15: Finances 15.1 Use Case: Portfolio Management 15.2 Use Case: Fraudulent Transactions 15.3 Use Case: Product Pricing Accuracy Chapter 16: Government 16.1 Use Case: Carbon Capture Sustainability 16.2 Use Case: Transport Efficiency 16.3 Use Case: Satellite Imaging 16.4 Use Case: Military Operations Chapter 17: Healthcare life sciences 17.1 Use Case: Drug Candidates 17.2 Use Case: Medical Imaging 17.3 Use Case: Protein Pathology 17.4 Use Case: Drug Toxicity Chapter 18: Manufacturing 18.1 Use Case: Improving Materials 18.2 Use Case: Assembly Line Flow 18.3 Use Case: Predictive Maintenance 18.4 Use Case: Components Performance Chapter 19: Supply Chain 19.1 Use Case: Energy Delivery 19.2 Use Case: Load Optimization 19.3 Use Case: Just-in-time Logistics 19.4 Use Case: Demand Forecast Chapter 20: Telecommunications 20.1 Use Case: Radio Access 20.3 Use Case: Network Planning 20.3 Use Case: Service Quality 20.4 Use Case: MIMO Spectrum Efficiency Chapter 21: Use case problem mapping Chapter 22: How to get quantum ready Chapter 23: Responsible technology use

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.