Quantum Computing Strategy: Foundations and Applicability

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Acknowledgments
Glossary
Acronyms
IntroductIon
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 Algorithm 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
		5.6 Quantum Metropolis Equilibrium
	Chapter 6 Applied Algorithms
		6.1 Variational Quantum Eigensolver (VQE)
		6.2 Quantum Amplitude Estimation (QAE)
		6.3 Quantum Approximate Optimization Algorithm (QAOA)
		6.4 Quadratic Unconstrained Binary Optimization (QUBO)
		6.5 Quantum Differential Equation (QDE)
		6.6 Quantum Artificial Intelligence (QAI)
		6.7 Algorithms Interrelation
	Chapter 7 Problem Categorization
		7.1 Chemical Processes
			7.1.1 Classical Approach
			7.1.2 Business Impact
			7.1.3 Quantum Approach
			7.1.4 Specific Example
			7.1.5 Simplified Analogy
		7.2 Objective Optimization
			7.2.1 Classical Approach
			7.2.2 Business Impact
			7.2.3 Quantum Approach
			7.2.4 Specific Example
			7.2.5 Simplified Analogy
		7.3 Stochastic Simulations
			7.3.1 Classical Approach
			7.3.2 Business Impact
			7.3.3 Quantum Approach
			7.3.4 Specific Example
			7.3.5 Simplified Analogy
		7.4 Artificial Intelligence
			7.4.1 Classical Approach
			7.4.2 Business Impact
			7.4.3 Quantum Approach
			7.4.4 Specific Example
			7.4.5 Simplified Analogy
	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
	Analysis Methodology
	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
		14.2 Use Case: Energy Unit Commitment
		14.3 Use Case: Smart-Grid Operation
		14.4 Use Case: Gas Turbine Design
	Chapter 15 Finance
		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
		20.2 Use Case: Network Planning
		20.3 Use Case: Service Quality
		20.4 Use Case: Mimo Spectrum Efficiency
	Chapter 21 Use Case Problem Mapping
		21.1 Example Problem: Package Delivery
	Chapter 22 How to Get Quantum Ready
		22.1 Strategy: Where am I Now and how Far do I Want to Go?
		22.2 Team: Do People Have the Time and Skills to Work on This?
		22.3 Uses: How to Define, Analyze, Prioritize, and Select Use Cases?
		22.4 Provider: How to Select the Best Provider For Me?
		22.5 Tests: Which Technology Will I Need to Select to Evaluate the Use Cases?
	Chapter 23 Responsible Technology Use
		23.1 Distribute Benefits Equitably
		23.2 Reduce Environmental Impact
		23.3 Ensure Algorithm Accountability
		23.4 Reskill Employees
		23.5 Prevent Hostile Use
		23.6 Security Dilemma
Resources
Bibliography
Index