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Financial Modeling Using Quantum Computing

You're reading from   Financial Modeling Using Quantum Computing Design and manage quantum machine learning solutions for financial analysis and decision making

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804618424
Length 292 pages
Edition 1st Edition
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Authors (4):
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Iraitz Montalban Iraitz Montalban
Author Profile Icon Iraitz Montalban
Iraitz Montalban
Anshul Saxena Anshul Saxena
Author Profile Icon Anshul Saxena
Anshul Saxena
Javier Mancilla Javier Mancilla
Author Profile Icon Javier Mancilla
Javier Mancilla
Christophe Pere Christophe Pere
Author Profile Icon Christophe Pere
Christophe Pere
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Basic Applications of Quantum Computing in Finance
2. Chapter 1: Quantum Computing Paradigm FREE CHAPTER 3. Chapter 2: Quantum Machine Learning Algorithms and Their Ecosystem 4. Chapter 3: Quantum Finance Landscape 5. Part 2: Advanced Applications of Quantum Computing in Finance
6. Chapter 4: Derivative Valuation 7. Chapter 5: Portfolio Management 8. Chapter 6: Credit Risk Analytics 9. Chapter 7: Implementation in Quantum Clouds 10. Part 3: Upcoming Quantum Scenario
11. Chapter 8: Simulators and HPC’s Role in the NISQ Era 12. Chapter 9: NISQ Quantum Hardware Roadmap 13. Chapter 10: Business Implementation 14. Index 15. Other Books You May Enjoy

Funding or budgeting issues

Many organizations already count on Data and Analytics departments using all the information companies have available to derive insights and drive business revenue. But not long ago, all those initiatives were accessory projects that were part of innovation funnels or just simple attempts led by key organizational actors. It was mostly a vision that needed to be proved as a business asset.

Support from C-level executives is key, but most of the time, these innovation projects must overcome a significant lack of resources and resistance to change within an already settled organization. Most importantly, these initiatives must track expenditure and return on investment (ROI). This is one crucial aspect that many initiatives cannot overcome, which is of the utmost importance given the cost of some of the available quantum hardware. Figure 10.3 shows an example of Quantinuum and IonQ's hardware cost in Azure for dedicated workloads.

Figure 10.3 – Costs for Quantinuum and IonQ services in Azure as of winter of 2022 ...
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