Buch, Englisch, 236 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 513 g
Foundations and Applicability
Buch, Englisch, 236 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 513 g
ISBN: 978-1-032-29914-3
Verlag: CRC Press
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.
Zielgruppe
Professional Reference
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Naturwissenschaften Physik Quantenphysik
- Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
- Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing
- Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmenskommunikation
- Mathematik | Informatik EDV | Informatik Informatik
Weitere Infos & Material
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
