Productizing Quantum Computing Bring Quantum Computing into Your Organization
Leverage the benefits of quantum computing by identifying business use cases and understanding how to design and develop quantum products and services. This book will guide you to effectively productize quantum computing, including best practices, recommendations, and proven methods to help you navi...
| Autor principal: | |
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress L. P.
2024.
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009786704206719 |
Tabla de Contenidos:
- Intro
- Table of Contents
- About the Authors
- Chapter 1: Introduction to Quantum Computing
- Transition from Classical Physics to Quantum Physics
- Fundamentals of Quantum Mechanics
- Electromagnetic Spectrum
- Planck's Constant
- Uncertainty Principle
- Double Slit Experiment
- Photo-electric Effect
- De-Broglie Wavelength
- Transition from Quantum Physics to Quantum Computing
- The Need for Quantum Computing
- Quantum Computing Basics
- Quantum Bits (Qubits)
- Ways of Representing Qubits
- Measuring Qubit States
- Quantum Gates and Circuits
- Differences Between Pauli Gates and Closest Classical Gates
- Advantages Over Classical Gates
- Quantum States and Superposition
- Quantum Entanglement
- Summary
- Chapter 2: Quantum Algorithms and Applications
- Introduction to Quantum Algorithms
- Designing Quantum Algorithms
- How Efficient Are Quantum Algorithms Compared to Their Classical Counterparts?
- Shor's Algorithm
- Classical Algorithm for Factorization
- Shor's Algorithm for Integer Factorization
- Applications of Shor's Algorithm
- Grover's Search Algorithm
- Classical Algorithm for Unsorted DB Search
- Possible Applications of Grover's Search Algorithm
- Variational Quantum Algorithm
- Purpose to Estimate the Ground State?
- Variational Quantum Eigensolver
- Importance of Finding Eigenvalues
- Applications of VQE
- Quantum Machine Learning
- Applications of Quantum Machine Learning
- Other Quantum Algorithms and Applications
- Deutsch Jozsa Algorithm
- Quantum Phase Estimation
- Applications of QPE in Other Algorithms
- Quantum Approximate Optimization Algorithm
- Applications of QAOA
- Implementing Quantum Algorithms in Quantum Computers
- Challenges and Limitations of Quantum Algorithms
- Choosing the Right Quantum Algorithm for Your Business
- Summary.
- Chapter 3: Introduction to Quantum Computers
- Quantum Computers
- Types of Quantum Computers
- Superconducting Quantum Computers
- Advantages of Superconducting Quantum Computers
- Disadvantages of Superconducting Quantum Computers
- Ion Trap Quantum Computer
- Advantages of Ion Trap Quantum Computer
- Demonstrations of Ion Trap Quantum Computer
- Disadvantages of Ion Trap Quantum Computer
- Topological Quantum Computer
- Advantages of Topological Quantum Computer
- Disadvantages of Topological Quantum Computer
- Photonic Quantum Computers
- Purpose of Creating a Photonic Quantum Computer
- Advantages of Photonic Quantum Computer
- Disadvantages of Photonic Quantum Computer
- Summary
- Chapter 4: Assessing the Market and Competitive Landscape
- Introduction to Market Assessment
- Quantum Computing Market Landscape
- Market Size and Growth Projections
- Key Players and Competitors in the Quantum Computing Market
- Market Segmentation
- Customers Job to Be Done
- Identifying Business Opportunities
- Summary
- Chapter 5: Designing Quantum Products and Services
- Defining Product Requirements
- Introduction to Product Design
- Creating Product Prototypes
- Testing and Validating Prototypes with Customers
- User Experience Design
- Hardware and Software Integration
- Challenges of Designing Quantum Products and Services
- Security and Privacy Considerations
- Collaborating in Cross-Functional Teams
- The Role of Product Managers Throughout the Process
- Summary
- Chapter 6: Developing a Quantum Roadmap
- Introduction to Product Roadmaps
- Introduction to Objectives and Key Results
- Defining the Objective and Key Results
- Identifying Key Deliverables
- Estimating Resource Requirements and the Timeline
- Assessing Risks and Mitigations
- Most Common Risks in Quantum Development
- Structuring the Outcomes.
- Communication and Stakeholder Management
- Measuring and Tracking Progress
- Adjusting the Roadmap as Needed
- Summary
- Chapter 7: Integrating Quantum Computing into an Existing System
- Introduction to Integrating Quantum Computing
- Analyzing Existing Systems
- Data Preparation for Quantum Computing
- Quantum Computing Software Development
- Integration Strategies
- Choosing the Right Quantum Computing Provider
- Debugging and Error Correction in Quantum Computing
- Testing and Validating Quantum Computing Systems
- Maintenance and Upkeep of Quantum Computing Systems
- Security Considerations for Quantum Computing Integration
- Summary
- Chapter 8: Releasing Quantum Computing Products
- How to Monetize the Product
- Working on Activation
- Understanding Your Acquisition Channels
- Positioning the Product
- Preparing for Market Release and Launch Strategies
- Managing Customer Expectations
- Post-Launch Monitoring and Feedback
- Summary
- Chapter 9: Challenges and Risks in Productizing Quantum Computing
- Identifying Challenges in Productizing Quantum Computing
- Hardware Limitations
- Cold Environments: The Quantum Refrigerator
- Software Challenges: Speaking the Quantum Language
- Quantum-to-Classical Transition
- Mitigating Technical Risks
- Researching and Investing in Error Correction Methods
- Continuous R&
- D on More Stable Qubits
- Hybrid Systems: Bridging Quantum and Classical
- Collaboration with Experts and Institutions at the Forefront of Quantum Research
- Managing Business Risks
- Conduct Thorough Market Analysis to Identify Genuine Use Cases
- Educate Stakeholders About Quantum's Realistic Potential
- Diversify Quantum Applications Across Sectors
- Continuously Monitor Technological Advancements to Pivot If Necessary
- Addressing Ethical and Social Implications.
- Understand and Address Privacy Concerns
- Discuss the Potential Misuse in Sectors Like Financial Systems or Defense
- Encourage Open Dialogue Between Technologists, Policymakers, and the Public
- Evaluating the Impact of Quantum Computing on the Workforce
- Developing Training Programs in Quantum Skills
- Rethinking University Curriculum
- Bridging the Gap between Academia and Industry
- Encouraging Cross-Disciplinary Approaches
- Addressing Regulatory and Compliance Issues
- Lobbying for Favorable Policies
- Collaborating with Legal Experts to Understand the Landscape
- Staying Updated on Global Quantum Policies
- Designing Products Keeping Future Regulations in Mind
- Implementing Effective Cybersecurity Measures
- Researching Quantum-Resistant Cryptography
- Collaborating with Cybersecurity Experts
- Educating Clients on the Potential Risks and Solutions
- Establishing Best Practices for Productizing Quantum Computing
- Draft Standards and Guidelines in Collaboration with Experts
- Open-Source Some Tools to Allow Community Validation
- Continuously Update Practices as Technology Evolves
- Case Studies in Productizing Quantum Computing
- IBM's Quantum Endeavors
- Google's Supremacy Claim
- Rigetti Computing
- Microsoft Quantum
- Lessons Learned for Quantum Product Managers
- Lessons Learned and Future Directions
- The Transition from Theory to Practice
- Amount of Evolution
- Lessons from Difficulties
- Upcoming Directions
- Summary
- Index.
